Matt Fredrikson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
20
Active years
2008–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models. | Kai Hu, Abhinav Aggarwal, Mehran Khodabandeh, David Zhang, Eric Hsin, Li Chen, Ankit Jain, Matt Fredrikson, Akash Bharadwaj |
| 2026 | ICISSP | Sequential Pattern Recognition Attacks against Deployed Topic-Based Mechanisms. | Saranya Vijayakumar, Norman Sadeh, Matt Fredrikson |
| 2026 | NDSS | PrivCode: When Code Generation Meets Differential Privacy. | Zheng Liu, Chen Gong, Terry Yue Zhuo, Kecen Li, Weichen Yu, Matt Fredrikson, Tianhao Wang |
| 2025 | CHI | LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses. | Weiran Lin, Anna Gerchanovsky, Omer Akgul, Lujo Bauer, Matt Fredrikson, Zifan Wang |
| 2025 | ICLR | AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. | Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, J. Zico Kolter, Matt Fredrikson, Yarin Gal, Xander Davies |
| 2025 | ICLR | Aligned LLMs Are Not Aligned Browser Agents. | Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Elaine T. Chang, Vaughn Robinson, Shuyan Zhou, Matt Fredrikson, Sean M. Hendryx, Summer Yue, Zifan Wang |
| 2025 | TrustCom | Prototype-Integrated Representation Learning for Novelty Detection. | Saranya Vijayakumar, Christos Faloutsos, Matt Fredrikson |
| 2024 | ICLR | A Recipe for Improved Certifiable Robustness. | Kai Hu, Klas Leino, Zifan Wang, Matt Fredrikson |
| 2023 | ICLR | On the Perils of Cascading Robust Classifiers. | Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina S. Pasareanu, Matt Fredrikson |
| 2022 | CAV | Self-correcting Neural Networks for Safe Classification. | Klas Leino, Aymeric Fromherz, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu |
| 2022 | ICLR | Selective Ensembles for Consistent Predictions. | Emily Black, Klas Leino, Matt Fredrikson |
| 2022 | ICLR | Consistent Counterfactuals for Deep Models. | Emily Black, Zifan Wang, Matt Fredrikson |
| 2022 | ICML | Robust Models Are More Interpretable Because Attributions Look Normal. | Zifan Wang, Matt Fredrikson, Anupam Datta |
| 2022 | Mobisys | TEO: ephemeral ownership for IoT devices to provide granular data control. | Han Zhang, Yuvraj Agarwal, Matt Fredrikson |
| 2022 | Mobisys | Protecting user data through ephemeral ownership of IoT devices. | Han Zhang, Yuvraj Agarwal, Matt Fredrikson |
| 2021 | ICLR | Fast Geometric Projections for Local Robustness Certification. | Aymeric Fromherz, Klas Leino, Matt Fredrikson, Bryan Parno, Corina S. Pasareanu |
| 2021 | ICML | Globally-Robust Neural Networks. | Klas Leino, Zifan Wang, Matt Fredrikson |
| 2021 | KDD | Machine Learning Explainability and Robustness: Connected at the Hip. | Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang |
| 2021 | VMCAI | Netter: Probabilistic, Stateful Network Models. | Han Zhang, Chi Zhang, Arthur Azevedo de Amorim, Yuvraj Agarwal, Matt Fredrikson, Limin Jia |
| 2020 | ACL | Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models. | Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson, Anupam Datta |
| 2020 | AISTATS | Learning Fair Representations for Kernel Models. | Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar |
| 2020 | CCS | Contextual and Granular Policy Enforcement in Database-backed Applications. | Abhishek Bichhawat, Matt Fredrikson, Jean Yang, Akash Trehan |
| 2020 | CVPR | Interpreting Interpretations: Organizing Attribution Methods by Criteria. | Zifan Wang, Piotr Mardziel, Anupam Datta, Matt Fredrikson |
| 2020 | IJCAI | Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness. | Samuel Yeom, Matt Fredrikson |
| 2020 | LICS | Reconciling noninterference and gradual typing. | Arthur Azevedo de Amorim, Matt Fredrikson, Limin Jia |
| 2019 | ICLR | Feature-Wise Bias Amplification. | Klas Leino, Emily Black, Matt Fredrikson, Shayak Sen, Anupam Datta |
| 2018 | ITC | Influence-Directed Explanations for Deep Convolutional Networks. | Klas Leino, Shayak Sen, Anupam Datta, Matt Fredrikson, Linyi Li |
| 2015 | CCS | Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures. | Matt Fredrikson, Somesh Jha, Thomas Ristenpart |
| 2014 | ACSAC | MoRePriv: mobile OS support for application personalization and privacy. | Drew Davidson, Matt Fredrikson, Benjamin Livshits |
| 2010 | SP | Synthesizing Near-Optimal Malware Specifications from Suspicious Behaviors. | Matt Fredrikson, Somesh Jha, Mihai Christodorescu, Reiner Sailer, Xifeng Yan |
| 2008 | RAID | A Layered Architecture for Detecting Malicious Behaviors. | Lorenzo Martignoni, Elizabeth Stinson, Matt Fredrikson, Somesh Jha, John C. Mitchell |