Timezone: »
Panel
Panel 1A-4: Hardness of Noise-Free… & Adversarially Robust Learning:…
Aravind Gollakota · Omar Montasser
Author Information
Aravind Gollakota (University of Texas at Austin)
Omar Montasser (Toyota Technological Institute at Chicago)
More from the Same Authors
-
2022 : Certifiable Robustness Against Patch Attacks Using an ERM Oracle »
Kevin Stangl · Avrim Blum · Omar Montasser · Saba Ahmadi -
2022 Poster: Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness »
Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang -
2022 Poster: Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization »
Omar Montasser · Steve Hanneke · Nati Srebro -
2022 Poster: A Theory of PAC Learnability under Transformation Invariances »
Han Shao · Omar Montasser · Avrim Blum -
2022 Poster: Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks »
Sitan Chen · Aravind Gollakota · Adam Klivans · Raghu Meka -
2020 Poster: Reducing Adversarially Robust Learning to Non-Robust PAC Learning »
Omar Montasser · Steve Hanneke · Nati Srebro -
2020 Poster: Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples »
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser -
2020 Spotlight: Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples »
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser -
2020 Poster: Statistical-Query Lower Bounds via Functional Gradients »
Surbhi Goel · Aravind Gollakota · Adam Klivans