Conference A RECIPE FOR IMPROVED CERTIFIABLE ROBUSTNESS 2024 • 12th International Conference on Learning Representations, ICLR 2024 Hu K, Leino K, Wang Z, Fredrikson M
Preprint Is Certifying $\ell_p$ Robustness Still Worthwhile? 2023 Mangal R, Leino K, Wang Z, Hu K, Yu W, Pasareanu C, Datta A, Fredrikson M
Conference ON THE PERILS OF CASCADING ROBUST CLASSIFIERS 2023 • 11th International Conference on Learning Representations, ICLR 2023 Mangal R, Wang Z, Zhang C, Leino K, Păsăreanu C, Fredrikson M
Preprint Representation Engineering: A Top-Down Approach to AI Transparency 2023 Zou A, Phan L, Chen S, Campbell J, Guo P, Ren R, Pan A, Yin X, Mazeika M, Dombrowski A-K, Goel S, Li N, Byun MJ, Wang Z, Mallen A, Basart S, Koyejo S, Song D, Fredrikson M, Kolter JZ, Hendrycks D
Preprint Transfer Attacks and Defenses for Large Language Models on Coding Tasks 2023 Zhang C, Wang Z, Mangal R, Fredrikson M, Jia L, Pasareanu C
Preprint Universal and Transferable Adversarial Attacks on Aligned Language Models 2023 Zou A, Wang Z, Carlini N, Nasr M, Kolter JZ, Fredrikson M
Preprint Unlocking Deterministic Robustness Certification on ImageNet 2023 Hu K, Zou A, Wang Z, Leino K, Fredrikson M
Conference CONSISTENT COUNTERFACTUALS FOR DEEP MODELS 2022 • ICLR 2022 - 10th International Conference on Learning Representations Black E, Wang Z, Datta A, Fredrikson M
Journal Article Degradation Attacks on Certifiably Robust Neural Networks 2022 • Transactions of Machine Learning Research • 1(1): Leino K, Zhang C, Mangal R, Fredrikson M, Parno B, Pasareanu C
Journal Article Enhancing the insertion of NOP instructions to obfuscate malware via deep reinforcement learning 2022 • Computers and Security • 113: Gibert D, Fredrikson M, Mateu C, Planes J, Le Q
Preprint Faithful Explanations for Deep Graph Models 2022 Wang Z, Yao Y, Zhang C, Zhang H, Kang Y, Joe-Wong C, Fredrikson M, Datta A
Preprint On the Perils of Cascading Robust Classifiers 2022 Mangal R, Wang Z, Zhang C, Leino K, Pasareanu C, Fredrikson M
Journal Article Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy 2022 • IEEE Access • 10:28333-28347 Montenegro H, Silva W, Gaudio A, Fredrikson M, Smailagic A, Cardoso JS
Conference Protecting user data through ephemeral ownership of IoT devices 2022 • MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services • 620-621 Zhang H, Agarwal Y, Fredrikson M
Conference Robust Models Are More Interpretable Because Attributions Look Normal 2022 • INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162 Wang Z, Fredrikson M, Datta A
Conference SELECTIVE ENSEMBLES FOR CONSISTENT PREDICTIONS 2022 • ICLR 2022 - 10th International Conference on Learning Representations Black E, Leino K, Fredrikson M
Chapter Self-correcting Neural Networks for Safe Classification 2022 • Lecture Notes in Computer Science • 13466:96-130 Leino K, Fromherz A, Mangal R, Fredrikson M, Parno B, Pasareanu C
Conference TEO: Ephemeral Ownership for IoT Devices to Provide Granular Data Control 2022 • MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services • 302-315 Zhang H, Agarwal Y, Fredrikson M
Conference Automating Audit with Policy Inference 2021 • Proceedings - IEEE Computer Security Foundations Symposium • 406-421 Bichhawat A, Fredrikson M, Yang J
Conference Capture: Centralized Library Management for Heterogeneous IoT Devices 2021 • PROCEEDINGS OF THE 30TH USENIX SECURITY SYMPOSIUM • 4187-4204 Zhang H, Anilkumar A, Fredrikson M, Agarwal Y
Preprint Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning 2021 Gibert D, Fredrikson M, Mateu C, Planes J, Le Q
Conference Exploring Conceptual Soundness with TruLens 2021 • NEURIPS 2021 COMPETITIONS AND DEMONSTRATIONS TRACK, VOL 176 • 176:302-307 Datta A, Fredrikson M, Leino K, Lu K, Wang Z, Shih R, Sen S
Conference FAST GEOMETRIC PROJECTIONS FOR LOCAL ROBUSTNESS CERTIFICATION 2021 • ICLR 2021 - 9th International Conference on Learning Representations Fromherz A, Leino K, Fredrikson M, Parno B, Pašăreanu C
