| 2026 | DSN | Thinking Inside the Box: Injecting Realistic Radiation Faults in ML Accelerators. | Bruno Loureiro Coelho, Mani Sadati, Abraham Chan, Alex Hands, Karthik Pattabiraman, Paolo Rech |
| 2026 | DSN | ReSect: A Tool for Automated Analysis of Reentrancy Transactions on Blockchains. | Yuqi Liu, Rui Xi, Karthik Pattabiraman |
| 2026 | EuroSys | Turnstile: Hybrid Information Flow Control Framework for Managing Privacy in Internet-of-Things Applications. | Kumseok Jung, Mohanna Shahrad, Gargi Mitra, Karthik Pattabiraman |
| 2026 | SAFECOMP | The Statistical Assessment of Bayes-"sub"Optimal Binary Machine Learning Classifier Risk. | Abraham Chan, Ilir Gashi, Sathish Gopalakrishnan, Karthik Pattabiraman, Kizito Salako |
| 2025 | CCS | Anonymity Unveiled: A Practical Framework for Auditing Data Use in Deep Learning Models. | Zitao Chen, Karthik Pattabiraman |
| 2025 | DSN | ReMlX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2025 | DSN | RAVAGE: Robotic Autonomous Vehicles' Attack Generation Engine. | Pritam Dash, Karthik Pattabiraman |
| 2025 | DSN | Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs. | Mohammed Elnawawy, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman |
| 2025 | DSN | Large-Scale AI Infra Reliability: Challenges, Strategies, and Llama 3 Training Experience. | Xun Jiao, Abhinav Pandey, Karthik Pattabiraman, Fan Fred Lin |
| 2025 | DSN | Reentrancy Redux: The Evolution of Real-World Reentrancy Attacks on Blockchains. | Yuqi Liu, Rui Xi, Karthik Pattabiraman |
| 2025 | ISSRE | DLAFI: Software-Based Fault Injection for Permanent Faults in Deep Learning Accelerators. | SeyedMani Sadati, Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman |
| 2025 | NDSS | A Method to Facilitate Membership Inference Attacks in Deep Learning Models. | Zitao Chen, Karthik Pattabiraman |
| 2025 | SAC | D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2024 | AsiaCCS | Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks. | Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, Karthik Pattabiraman |
| 2024 | CCS | SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks. | Pritam Dash, Ethan Chan, Karthik Pattabiraman |
| 2024 | CCS | AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices. | Mohsen Salehi, Karthik Pattabiraman |
| 2024 | CHASE | Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems. | Mohammed Elnawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, Karthik Pattabiraman |
| 2024 | DSN | Harnessing Explainability to Improve ML Ensemble Resilience. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2024 | DSN | Tutorial: LLTFI and the Art of Fault Injection. | Karthik Pattabiraman, Abraham Chan |
| 2024 | NDSS | Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction. | Zitao Chen, Karthik Pattabiraman |
| 2024 | SP | POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance. | Rui Xi, Zehua Wang, Karthik Pattabiraman |
| 2023 | AsiaCCS | Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks. | Zitao Chen, Pritam Dash, Karthik Pattabiraman |
| 2023 | DSN | Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults. | Udit Kumar Agarwal, Abraham Chan, Ali Asgari Khoshouyeh, Karthik Pattabiraman |
| 2023 | DSN | Beyond Detection: Securing Robotic Vehicles. | Pritam Dash, Karthik Pattabiraman |
| 2023 | DSN | SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms. | Yingao Elaine Yao, Pritam Dash, Karthik Pattabiraman |
| 2023 | EuroSys | Hot Under the Hood: An Analysis of Ambient Temperature Impact on Heterogeneous Edge Platforms. | Amirhossein Ahmadi, Hazem A. Abdelhafez, Shashwat Jaiswal, Karthik Pattabiraman, Matei Ripeanu |
| 2023 | ICSE | AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities. | Asem Ghaleb, Julia Rubin, Karthik Pattabiraman |
| 2023 | ISSRE | Resilience Assessment of Large Language Models under Transient Hardware Faults. | Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman |
| 2023 | ISSRE | Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2023 | SC | Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. | Ali Asgari Khoshouyeh, Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Prashant J. Nair, Karthik Pattabiraman |
| 2023 | SAFECOMP | A Low-Cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks. | Florian Geissler, Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman |
| 2022 | CCS | Poster AutoPatch: Automatic Hotpatching of Real-Time Embedded Devices. | Mohsen Salehi, Karthik Pattabiraman |
| 2022 | CCS | Poster: May the Swarm Be With You: Sensor Spoofing Attacks Against Drone Swarms. | Yingao Elaine Yao, Pritam Dash, Karthik Pattabiraman |
| 2022 | DSN | The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2022 | DSN | Towards Building Resilient Ensembles against Training Data Faults. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2022 | ISSRE | LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track). | Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman |
| 2022 | ISSTA | eTainter: detecting gas-related vulnerabilities in smart contracts. | Asem Ghaleb, Julia Rubin, Karthik Pattabiraman |
| 2021 | DSN | A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction. | Zitao Chen, Guanpeng Li, Karthik Pattabiraman |
| 2021 | DSN | PID-Piper: Recovering Robotic Vehicles from Physical Attacks. | Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman |
| 2021 | DSN | Fourth International Workshop on Dependable and Secure Machine Learning - DSML 2021. | Hui Xu, Guanpeng Li, Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramr |
| 2021 | EuroSys | Snowflakes at the Edge: A Study of Variability among NVIDIA Jetson AGX Xavier Boards. | Hazem A. Abdelhafez, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu |
| 2021 | IJCAI | Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision. | Florian Geissler, Syed Sha Qutub, Sayanta Roychowdhury, Ali Asgari Khoshouyeh, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman, Michael Paulitsch |
| 2021 | ISSRE | (WiP) LLTFI: Low-Level Tensor Fault Injector. | Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman |
| 2021 | PRDC | Are you for Real? Authentication in Dynamic IoT Systems. | Mehdi Karimibiuki, Karthik Pattabiraman, Andr Ivanov |
| 2021 | QRS | Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. | Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2020 | DSN | Third International Workshop on Dependable and Secure Machine Learning - DSML 2020. | Homa Alemzadeh, Rakesh Bobba, Varun Chandrasekaran, David E. Evans, Nicolas Papernot, Karthik Pattabiraman, Florian Tramr |
| 2020 | DSN | TraceSanitizer - Eliminating the Effects of Non-Determinism on Error Propagation Analysis. | Habib Saissi, Stefan Winter, Oliver Schwahn, Karthik Pattabiraman, Neeraj Suri |
| 2020 | IOLTS | Error Resilient Machine Learning for Safety-Critical Systems: Position Paper. | Karthik Pattabiraman, Guanpeng Li, Zitao Chen |
| 2020 | ISSRE | TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. | Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2020 | ISSRE | New Wine in an Old Bottle: N-Version Programming for Machine Learning Components. | Arpan Gujarati, Sathish Gopalakrishnan, Karthik Pattabiraman |
| 2020 | ISSRE | How Far Have We Come in Detecting Anomalies in Distributed Systems? An Empirical Study with a Statement-level Fault Injection Method. | Yong Yang, Yifan Wu, Karthik Pattabiraman, Long Wang, Ying Li |
| 2020 | ISSTA | How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection. | Asem Ghaleb, Karthik Pattabiraman |
| 2020 | SC | GPU-trident: efficient modeling of error propagation in GPU programs. | Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael B. Sullivan, Timothy Tsai, Siva Kumar Sastry Hari |
| 2019 | ACSAC | Out of control: stealthy attacks against robotic vehicles protected by control-based techniques. | Pritam Dash, Mehdi Karimibiuki, Karthik Pattabiraman |
| 2019 | DSN | Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. | Bo Fang, Jieyang Chen, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy |
| 2019 | ICS | BonVoision: leveraging spatial data smoothness for recovery from memory soft errors. | Bo Fang, Hassan Halawa, Karthik Pattabiraman, Matei Ripeanu, Sriram Krishnamoorthy |
| 2019 | ISSRE | A Tale of Two Injectors: End-to-End Comparison of IR-Level and Assembly-Level Fault Injection. | Lucas Palazzi, Guanpeng Li, Bo Fang, Karthik Pattabiraman |
| 2019 | SAC | Failure prediction in the internet of things due to memory exhaustion. | Mohammad Rafiuzzaman, Julien Gascon-Samson, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2019 | SC | Untitled record | Zitao Chen, Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2018 | CCS | CORGIDS: A Correlation-based Generic Intrusion Detection System. | Ekta Aggarwal, Mehdi Karimibiuki, Karthik Pattabiraman, Andr Ivanov |
| 2018 | DSN | DSML 2018 Introduction. | Homa Alemzadeh, Karthik Pattabiraman, David E. Evans |
| 2018 | DSN | Modeling Input-Dependent Error Propagation in Programs. | Guanpeng Li, Karthik Pattabiraman |
| 2018 | DSN | Modeling Soft-Error Propagation in Programs. | Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai |
| 2018 | ECOOP | ThingsMigrate: Platform-Independent Migration of Stateful JavaScript IoT Applications. | Julien Gascon-Samson, Kumseok Jung, Shivanshu Goyal, Armin Rezaiean-Asel, Karthik Pattabiraman |
| 2018 | ICSE | Inferring hierarchical motifs from execution traces. | Saba Alimadadi, Ali Mesbah, Karthik Pattabiraman |
| 2018 | ISSRE | TensorFI: A Configurable Fault Injector for TensorFlow Applications. | Guanpeng Li, Karthik Pattabiraman, Nathan DeBardeleben |
| 2018 | PRDC | DynPolAC: Dynamic Policy-Based Access Control for IoT Systems. | Mehdi Karimibiuki, Ekta Aggarwal, Karthik Pattabiraman, Andr Ivanov |
| 2017 | DSN | One Bit is (Not) Enough: An Empirical Study of the Impact of Single and Multiple Bit-Flip Errors. | Behrooz Sangchoolie, Karthik Pattabiraman, Johan Karlsson |
| 2017 | HPDC | LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures. | Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu |
| 2017 | ICST | IPA: Error Propagation Analysis of Multi-Threaded Programs Using Likely Invariants. | Abraham Chan, Stefan Winter, Habib Saissi, Karthik Pattabiraman, Neeraj Suri |
| 2017 | Middleware | ThingsJS: towards a flexible and self-adaptable middleware for dynamic and heterogeneous IoT environments. | Julien Gascon-Samson, Mohammad Rafiuzzaman, Karthik Pattabiraman |
| 2017 | OOPSLA | SmartJS: dynamic and self-adaptable runtime middleware for next-generation IoT systems. | Julien Gascon-Samson, Mohammad Rafiuzzaman, Karthik Pattabiraman |
| 2017 | SC | Understanding error propagation in deep learning neural network (DNN) accelerators and applications. | Guanpeng Li, Siva Kumar Sastry Hari, Michael B. Sullivan, Timothy Tsai, Karthik Pattabiraman, Joel S. Emer, Stephen W. Keckler |
| 2016 | ACSAC | Formal security analysis of smart embedded systems. | Farid Molazem Tabrizi, Karthik Pattabiraman |
| 2016 | DSN | ePVF: An Enhanced Program Vulnerability Factor Methodology for Cross-Layer Resilience Analysis. | Bo Fang, Qining Lu, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi |
| 2016 | DSN | SDC is in the Eye of the Beholder: A Survey and Preliminary Study. | Bo Fang, Panruo Wu, Qiang Guan, Nathan DeBardeleben, Laura Monroe, Sean Blanchard, Zhizong Chen, Karthik Pattabiraman, Matei Ripeanu |
| 2016 | EDCC | Finding Resilience-Friendly Compiler Optimizations Using Meta-Heuristic Search Techniques. | Nithya Narayanamurthy, Karthik Pattabiraman, Matei Ripeanu |
| 2016 | ICSE | Understanding asynchronous interactions in full-stack JavaScript. | Saba Alimadadi, Ali Mesbah, Karthik Pattabiraman |
| 2016 | ICST | Atrina: Inferring Unit Oracles from GUI Test Cases. | Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman |
| 2016 | SC | Understanding error propagation in GPGPU applications. | Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose |
| 2016 | SAFECOMP | FIDL: A Fault Injection Description Language for Compiler-Based SFI Tools. | Maryam Raiyat Aliabadi, Karthik Pattabiraman |
| 2015 | DSN | Fine-Grained Characterization of Faults Causing Long Latency Crashes in Programs. | Guanpeng Li, Qining Lu, Karthik Pattabiraman |
| 2015 | ECOOP | Hybrid DOM-Sensitive Change Impact Analysis for JavaScript. | Saba Alimadadi, Ali Mesbah, Karthik Pattabiraman |
| 2015 | EDCC | Flexible Intrusion Detection Systems for Memory-Constrained Embedded Systems. | Farid Molazem Tabrizi, Karthik Pattabiraman |
| 2015 | ICSE | Detecting Inconsistencies in JavaScript MVC Applications. | Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah |
| 2015 | ICST | JSEFT: Automated Javascript Unit Test Generation. | Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman |
| 2015 | ISSRE | Experience report: An application-specific checkpointing technique for minimizing checkpoint corruption. | Guanpeng Li, Karthik Pattabiraman, Chen-Yong Cher, Pradip Bose |
| 2015 | Middleware | Intrusion Detection System for Embedded Systems. | Farid Molazem Tabrizi, Karthik Pattabiraman |
| 2015 | QRS | LLFI: An Intermediate Code-Level Fault Injection Tool for Hardware Faults. | Qining Lu, Mostafa Farahani, Jiesheng Wei, Anna Thomas, Karthik Pattabiraman |
| 2014 | CASES | SDCTune: A model for predicting the SDC proneness of an application for configurable protection. | Qining Lu, Karthik Pattabiraman, Meeta Sharma Gupta, Jude A. Rivers |
| 2014 | DATE | GPGPUs: How to combine high computational power with high reliability. | Leonardo Arturo Bautista-Gomez, Franck Cappello, Luigi Carro, Nathan DeBardeleben, Bo Fang, Sudhanva Gurumurthi, Karthik Pattabiraman, Paolo Rech, Matteo Sonza Reorda |
| 2014 | DSN | Hardware-Software Integrated Diagnosis for Intermittent Hardware Faults. | Majid Dadashi, Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2014 | DSN | Evaluating the Error Resilience of Parallel Programs. | Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi |
| 2014 | DSN | Quantifying the Accuracy of High-Level Fault Injection Techniques for Hardware Faults. | Jiesheng Wei, Anna Thomas, Guanpeng Li, Karthik Pattabiraman |
| 2014 | ICSE | Understanding JavaScript event-based interactions. | Saba Alimadadi, Sheldon Sequeira, Ali Mesbah, Karthik Pattabiraman |
| 2014 | ICSE | Vejovis: suggesting fixes for JavaScript faults. | Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah |
| 2014 | ISPASS | GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications. | Bo Fang, Karthik Pattabiraman, Matei Ripeanu, Sudhanva Gurumurthi |
| 2014 | ISSRE | Soft-LLFI: A Comprehensive Framework for Software Fault Injection. | Maryam Raiyat Aliabadi, Karthik Pattabiraman, Nematollah Bidokhti |
| 2014 | ISSRE | Failure Analysis of Jobs in Compute Clouds: A Google Cluster Case Study. | Xin Chen, Charng-Da Lu, Karthik Pattabiraman |
| 2014 | ISSRE | Failure Prediction of Jobs in Compute Clouds: A Google Cluster Case Study. | Xin Chen, Charng-Da Lu, Karthik Pattabiraman |
| 2014 | MSR | Mining questions asked by web developers. | Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah |
| 2013 | DSN | Predicting job completion times using system logs in supercomputing clusters. | Xin Chen, Charng-Da Lu, Karthik Pattabiraman |
| 2013 | DSN | Error detector placement for soft computation. | Anna Thomas, Karthik Pattabiraman |
| 2013 | ESEM | An Empirical Study of Client-Side JavaScript Bugs. | Frolin S. Ocariza Jr., Kartik Bajaj, Karthik Pattabiraman, Ali Mesbah |
| 2013 | ICST | Efficient JavaScript Mutation Testing. | Shabnam Mirshokraie, Ali Mesbah, Karthik Pattabiraman |
| 2012 | DSN | A model for security analysis of smart meters. | Farid Molazem Tabrizi, Karthik Pattabiraman |
| 2012 | DSN | BLOCKWATCH: Leveraging similarity in parallel programs for error detection. | Jiesheng Wei, Karthik Pattabiraman |
| 2012 | ICST | AutoFLox: An Automatic Fault Localizer for Client-Side JavaScript. | Frolin S. Ocariza Jr., Karthik Pattabiraman, Ali Mesbah |
| 2012 | SC | Abstract: Evaluating Error Resiliency of GPGPU Applications. | Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu |
| 2012 | SC | Poster: Evaluating Error Resiliency of GPGPU Applications. | Bo Fang, Jiesheng Wei, Karthik Pattabiraman, Matei Ripeanu |
| 2011 | ASPLOS | Flikker: saving DRAM refresh-power through critical data partitioning. | Song Liu, Karthik Pattabiraman, Thomas Moscibroda, Benjamin G. Zorn |
| 2011 | DSN | Comparing the effects of intermittent and transient hardware faults on programs. | Jiesheng Wei, Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2011 | ISSRE | JavaScript Errors in the Wild: An Empirical Study. | Frolin S. Ocariza Jr., Karthik Pattabiraman, Benjamin G. Zorn |
| 2010 | DSN | Towards understanding the effects of intermittent hardware faults on programs. | Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2010 | ISSRE | DoDOM: Leveraging DOM Invariants for Web 2.0 Application Robustness Testing. | Karthik Pattabiraman, Benjamin G. Zorn |
| 2010 | PRDC | Modeling the Propagation of Intermittent Hardware Faults in Programs. | Layali Rashid, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2009 | DSN | An end-to-end approach for the automatic derivation of application-aware error detectors. | Galen Lyle, Shelley Cheny, Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2009 | DSN | Second workshop on Compiler and Architectural Techniques for Application Reliability and Security (CATARS). | Karthik Pattabiraman, Zbigniew Kalbarczyk |
| 2009 | PPoPP | Detecting and tolerating asymmetric races. | Paruj Ratanaworabhan, Martin Burtscher, Darko Kirovski, Benjamin G. Zorn, Rahul Nagpal, Karthik Pattabiraman |
| 2009 | SEC | Discovering Application-Level Insider Attacks Using Symbolic Execution. | Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2008 | DSN | Workshop on compiler and architectural techniques for application reliability and security (CATARS). | Karthik Pattabiraman, Shuo Chen, Zbigniew Kalbarczyk |
| 2008 | DSN | SymPLFIED: Symbolic program-level fault injection and error detection framework. | Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2008 | EuroSys | Samurai: protecting critical data in unsafe languages. | Karthik Pattabiraman, Vinod Grover, Benjamin G. Zorn |
| 2007 | DSN | Processor-Level Selective Replication. | Nithin Nakka, Karthik Pattabiraman, Ravishankar K. Iyer |
| 2007 | IOLTS | Automated Derivation of Application-aware Error Detectors using Static Analysis. | Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2006 | EDCC | Dynamic Derivation of Application-Specific Error Detectors and their Implementation in Hardware. | Karthik Pattabiraman, Giacinto Paolo Saggese, Daniel Chen, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2005 | DSN | Modeling Coordinated Checkpointing for Large-Scale Supercomputers. | Long Wang, Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Lawrence G. Votta, Christopher A. Vick, Alan Wood |
| 2005 | PRDC | Application-Based Metrics for Strategic Placement of Detectors. | Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2004 | SEC | Formal Reasoning of Various Categories of Widely Exploited Security Vulnerabilities by Pointer Taintedness Semantics. | Shuo Chen, Karthik Pattabiraman, Zbigniew Kalbarczyk, Ravishankar K. Iyer |