| 2026 | AAAI | MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs. | Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique |
| 2026 | DATE | Special Day - GUIDE: GenAI Units In Digital Design Education. | Weihua Xiao, Jason Blocklove, Matthew DeLorenzo, Johann Knechtel, Ozgur Sinanoglu, Kanad Basu, Jeyavijayan Rajendran, Siddharth Garg, Ramesh Karri |
| 2026 | HPCA | zkPHIRE: A Programmable Accelerator for ZKPs over HIgh-degRee, Expressive Gates. | Alhad Daftardar, Jianqiao Mo, Joey Ah-kiow, Benedikt Bnz, Siddharth Garg, Brandon Reagen |
| 2026 | ICISSP | LLM-Driven Python-to-Rust Translation for Efficient and Safe Code for Neural Networks: llm4py2rs. | Rupesh Raj Karn, Johann Knechtel, Siddharth Garg, Ramesh Karri, Ozgur Sinanoglu |
| 2025 | ACSSC | A Spatial Array for Spectrally Agile Wireless Processing. | Ali Rasteh, Andrew Hennessee, Ishaan Shivhare, Siddharth Garg, Sundeep Rangan, Brandon Reagen |
| 2025 | ETS | Large Language Models (LLMs) for Verification, Testing, and Design. | Chandan Kumar Jha, Muhammad Hassan, Khushboo Qayyum, Sallar Ahmadi-Pour, Kangwei Xu, Ruidi Qiu, Jason Blocklove, Luca Collini, Andre Nakkab, Ulf Schlichtmann, Grace Li Zhang, Ramesh Karri, Bing Li, Siddharth Garg, Rolf Drechsler |
| 2025 | IJCNN | Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing. | Boyuan Chen, Mingzhi Zhu, Brendan Dolan-Gavitt, Muhammad Shafique, Siddharth Garg |
| 2025 | ISCA | Need for zkSpeed: Accelerating HyperPlonk for Zero-Knowledge Proofs. | Alhad Daftardar, Jianqiao Mo, Joey Ah-kiow, Benedikt Bnz, Ramesh Karri, Siddharth Garg, Brandon Reagen |
| 2024 | AISTATS | On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. | Georg Pichler, Marco Romanelli, Divya Prakash Manivannan, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg |
| 2024 | ICCAD | ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search. | Jitendra Bhandari, Animesh Basak Chowdhury, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri, Johann Knechtel |
| 2024 | ICLR | Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization. | Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg |
| 2024 | ICLR | LipSim: A Provably Robust Perceptual Similarity Metric. | Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg |
| 2024 | ICLR | Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. | Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgwer, Bin Hu |
| 2023 | ASPLOS | Characterizing and Optimizing End-to-End Systems for Private Inference. | Karthik Garimella, Zahra Ghodsi, Nandan Kumar Jha, Siddharth Garg, Brandon Reagen |
| 2023 | DAC | ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning. | Animesh Basak Chowdhury, Lilas Alrahis, Luca Collini, Johann Knechtel, Ramesh Karri, Siddharth Garg, Ozgur Sinanoglu, Benjamin Tan |
| 2023 | DATE | Benchmarking Large Language Models for Automated Verilog RTL Code Generation. | Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg |
| 2023 | ICCAD | Invited Paper: Towards the Imagenets of ML4EDA. | Animesh Basak Chowdhury, Shailja Thakur, Hammond Pearce, Ramesh Karri, Siddharth Garg |
| 2023 | ICRA | Path Planning Under Uncertainty to Localize mmWave Sources. | Kai Pfeiffer, Yuze Jia, Mingsheng Yin, Akshaj Kumar Veldanda, Yaqi Hu, Amee Trivedi, Jeff Zhang, Siddharth Garg, Elza Erkip, Sundeep Rangan, Ludovic Righetti |
| 2023 | WWW | Can Deepfakes be created on a whim? | Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt |
| 2023 | UAI | Towards better certified segmentation via diffusion models. | Othmane Laousy, Alexandre Araujo, Guillaume Chassagnon, Marie-Pierre Revel, Siddharth Garg, Farshad Khorrami, Maria Vakalopoulou |
| 2022 | DAC | High-level design methods for hardware security: is it the right choice? invited. | Christian Pilato, Donatella Sciuto, Benjamin Tan, Siddharth Garg, Ramesh Karri |
| 2022 | ICML | Selective Network Linearization for Efficient Private Inference. | Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde |
| 2021 | AAAI | Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. | Kang Liu, Benjamin Tan, Siddharth Garg |
| 2021 | ASPDAC | Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. | Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young |
| 2021 | CCS | NNoculation: Catching BadNets in the Wild. | Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg |
| 2021 | DAC | Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks. | Nimisha Limaye, Animesh Basak Chowdhury, Christian Pilato, Mohammed Thari Nabeel, Ozgur Sinanoglu, Siddharth Garg, Ramesh Karri |
| 2021 | DAC | Invited: Independent Verification and Validation of Security-Aware EDA Tools and IP. | Benjamin Tan, Siddharth Garg, Ramesh Karri, Yuntao Liu, Michael Zuzak, Abhisek Chakraborty, Ankur Srivastava, Omid Aramoon, Qian Xu, Gang Qu, Adam A. Porter, Jeno Szep, Warren Savage |
| 2021 | DATE | Vertical IP Protection of the Next-Generation Devices: Quo Vadis? | Shubham Rai, Siddharth Garg, Christian Pilato, Vladimir Herdt, Elmira Moussavi, Dominik Sisejkovic, Ramesh Karri, Rolf Drechsler, Farhad Merchant, Akash Kumar |
| 2021 | ICML | DeepReDuce: ReLU Reduction for Fast Private Inference. | Nandan Kumar Jha, Zahra Ghodsi, Siddharth Garg, Brandon Reagen |
| 2021 | ISIT | On Graph Matching Using Generalized Seed Side-Information. | Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg, Elza Erkip |
| 2020 | DATE | Poisoning the (Data) Well in ML-Based CAD: A Case Study of Hiding Lithographic Hotspots. | Kang Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg |
| 2020 | DATE | Is Register Transfer Level Locking Secure? | Chandan Karfa, Ramanuj Chouksey, Christian Pilato, Siddharth Garg, Ramesh Karri |
| 2020 | ETS | Anomaly Detection in Embedded Systems Using Power and Memory Side Channels. | Jiho Park, Virinchi Roy Surabhi, Prashanth Krishnamurthy, Siddharth Garg, Ramesh Karri, Farshad Khorrami |
| 2020 | VTS | SafeTPU: A Verifiably Secure Hardware Accelerator for Deep Neural Networks. | Maria I. Mera Collantes, Zahra Ghodsi, Siddharth Garg |
| 2019 | DAC | Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities. | Jeff Jun Zhang, Kang Liu, Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Theocharis Theocharides, Alessandro Artussi, Muhammad Shafique, Siddharth Garg |
| 2019 | DATE | TrojanZero: Switching Activity-Aware Design of Undetectable Hardware Trojans with Zero Power and Area Footprint. | Imran Hafeez Abbassi, Faiq Khalid, Semeen Rehman, Awais Mehmood Kamboh, Axel Jantsch, Siddharth Garg, Muhammad Shafique |
| 2019 | IROS | Adaptive Adversarial Videos on Roadside Billboards: Dynamically Modifying Trajectories of Autonomous Vehicles. | Naman Patel, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami |
| 2019 | ISIT | A Concentration of Measure Approach to Database De-anonymization. | Farhad Shirani, Siddharth Garg, Elza Erkip |
| 2018 | DAC | TAO: techniques for algorithm-level obfuscation during high-level synthesis. | Christian Pilato, Francesco Regazzoni, Ramesh Karri, Siddharth Garg |
| 2018 | DAC | Thundervolt: enabling aggressive voltage underscaling and timing error resilience for energy efficient deep learning accelerators. | Jeff Zhang, Kartheek Rangineni, Zahra Ghodsi, Siddharth Garg |
| 2018 | ICCAD | FATE: fast and accurate timing error prediction framework for low power DNN accelerator design. | Jeff Jun Zhang, Siddharth Garg |
| 2018 | ISIT | Typicality Matching for Pairs of Correlated Graphs. | Farhad Shirani, Siddharth Garg, Elza Erkip |
| 2018 | ISIT | Optimal Active social Network De-anonymization Using Information Thresholds. | Farhad Shirani, Siddharth Garg, Elza Erkip |
| 2018 | RAID | Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks. | Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg |
| 2018 | VTS | Special session: Recent developments in hardware security. | Ro Cammarota, Naghmeh Karimi, Siddharth Garg, Jeyavijayan Rajendran |
| 2018 | VTS | Analyzing and mitigating the impact of permanent faults on a systolic array based neural network accelerator. | Jeff Jun Zhang, Tianyu Gu, Kanad Basu, Siddharth Garg |
| 2017 | ACSSC | Seeded graph matching: Efficient algorithms and theoretical guarantees. | Farhad Shirani, Siddharth Garg, Elza Erkip |
| 2017 | DATE | Inspiring trust in outsourced integrated circuit fabrication. | Siddharth Garg |
| 2017 | DATE | BandiTS: Dynamic timing speculation using multi-armed bandit based optimization. | Jeff Jun Zhang, Siddharth Garg |
| 2017 | ICCAD | Optimal checkpointing for secure intermittently-powered IoT devices. | Zahra Ghodsi, Siddharth Garg, Ramesh Karri |
| 2017 | ICCAD | Reverse engineering camouflaged sequential circuits without scan access. | Mohamed El Massad, Siddharth Garg, Mahesh Tripunitara |
| 2017 | ICCAD | Rethinking split manufacturing: An information-theoretic approach with secure layout techniques. | Abhrajit Sengupta, Satwik Patnaik, Johann Knechtel, Mohammed Ashraf, Siddharth Garg, Ozgur Sinanoglu |
| 2016 | ACSSC | Optimal de-anonymization in random graphs with community structure. | Efe Onaran, Siddharth Garg, Elza Erkip |
| 2016 | DAC | Synergistic timing speculation for multi-threaded programs. | Atif Yasin, Jeff Jun Zhang, Hu Chen, Siddharth Garg, Sanghamitra Roy, Koushik Chakraborty |
| 2016 | ICCD | Power-aware virtual machine mapping in the data-center-on-a-chip paradigm. | Xue Lin, Yuankun Xue, Paul Bogdan, Yanzhi Wang, Siddharth Garg, Massoud Pedram |
| 2016 | SP | Verifiable ASICs. | Riad S. Wahby, Max Howald, Siddharth Garg, Abhi Shelat, Michael Walfish |
| 2015 | DATE | Variability-aware dark silicon management in on-chip many-core systems. | Muhammad Shafique, Dennis Gnad, Siddharth Garg, Jrg Henkel |
| 2015 | ISLPED | Energy efficient scheduling for web search on heterogeneous microservers. | Sankalp Jain, Harshad Navale, mit Y. Ogras, Siddharth Garg |
| 2015 | NDSS | Integrated Circuit (IC) Decamouflaging: Reverse Engineering Camouflaged ICs within Minutes. | Mohamed El Massad, Siddharth Garg, Mahesh V. Tripunitara |
| 2014 | DAC | The EDA Challenges in the Dark Silicon Era: Temperature, Reliability, and Variability Perspectives. | Muhammad Shafique, Siddharth Garg, Jrg Henkel, Diana Marculescu |
| 2014 | ICCAD | Shielding and securing integrated circuits with sensors. | Davood Shahrjerdi, Jeyavijayan Rajendran, Siddharth Garg, Farinaz Koushanfar, Ramesh Karri |
| 2013 | DAC | HaDeS: architectural synthesis for <u>h</u>eterogeneous <u>d</u>ark <u>s</u>ilicon chip multi-processors. | Yatish Turakhia, Bharathwaj Raghunathan, Siddharth Garg, Diana Marculescu |
| 2013 | DATE | Low cost permanent fault detection using ultra-reduced instruction set co-processors. | Sundaram Ananthanarayanan, Siddharth Garg, Hiren D. Patel |
| 2013 | DATE | Cherry-picking: exploiting process variations in dark-silicon homogeneous chip multi-processors. | Bharathwaj Raghunathan, Yatish Turakhia, Siddharth Garg, Diana Marculescu |
| 2013 | ISCAS | Impact of manufacturing process variations on performance and thermal characteristics of 3D ICs: Emerging challenges and new solutions. | Da-Cheng Juan, Siddharth Garg, Diana Marculescu |
| 2012 | DAC | Reliable computing with ultra-reduced instruction set co-processors. | Aravindkumar Rajendiran, Sundaram Ananthanarayanan, Hiren D. Patel, Mahesh V. Tripunitara, Siddharth Garg |
| 2012 | FPGA | EmPower: FPGA based emulation of dynamic power management algorithms for multi-core systems on chip (abstract only). | Sundaram Ananthanarayanan, Chirag Ravishankar, Siddharth Garg, Andrew A. Kennings |
| 2012 | FPL | EmPower: FPGA based rapid prototyping of dynamic power management algorithms for multi-processor systems on chip. | Chirag Ravishankar, Sundaram Ananthanarayanan, Siddharth Garg, Andrew A. Kennings |
| 2011 | DATE | Statistical thermal evaluation and mitigation techniques for 3D Chip-Multiprocessors in the presence of process variations. | Da-Cheng Juan, Siddharth Garg, Diana Marculescu |
| 2011 | VTS | Special session 4A: New topics parametric yield and reliability of 3D integrated circuits: New challenges and solutions. | Siddharth Garg, Diana Marculescu |
| 2010 | ICCAD | Process variation aware performance modeling and dynamic power management for multi-core systems. | Siddharth Garg, Diana Marculescu, Sebastian Herbert |
| 2010 | ISLPED | Custom feedback control: enabling truly scalable on-chip power management for MPSoCs. | Siddharth Garg, Diana Marculescu, Radu Marculescu |
| 2009 | DAC | Technology-driven limits on DVFS controllability of multiple voltage-frequency island designs: a system-level perspective. | Siddharth Garg, Diana Marculescu, Radu Marculescu, mit Y. Ogras |
| 2009 | DATE | System-level process variability analysis and mitigation for 3D MPSoCs. | Siddharth Garg, Diana Marculescu |
| 2008 | ICIP | Voting-based active contour segmentation of fMRI images of the brain. | Gowri Srinivasa, Vivek S. Oak, Siddharth Garg, Matthew C. Fickus, Jelena Kovacevic |
| 2007 | DATE | Interactive presentation: System-level process variation driven throughput analysis for single and multiple voltage-frequency island designs. | Siddharth Garg, Diana Marculescu |
| 2006 | ICCAD | System-level process-driven variability analysis for single and multiple voltage-frequency island systems. | Diana Marculescu, Siddharth Garg |
| 2004 | ICCD | Static Transition Probability Analysis Under Uncertainty. | Siddharth Garg, Siddharth Tata, Ravishankar Arunachalam |