Timezone: »
This work concerns the development of deep networks that are certifiably robust to adversarial attacks. Joint robust classification-detection was recently introduced as a certified defense mechanism, where adversarial examples are either correctly classified or assigned to the abstain'' class. In this work, we show that such a provable framework can be extended to networks with multiple explicit abstain classes, where the adversarial examples are adaptively assigned to those. While naively adding multiple abstain classes can lead to
model degeneracy'', we propose a regularization approach and a training method to counter this degeneracy by promoting full use of the multiple abstain classes. Our experiments demonstrate that the proposed approach consistently achieves favorable natural vs. robust verified accuracy tradeoff, outperforming state-of-the-art algorithms for various choices of number of abstain classes.
Author Information
Sina Baharlouei (UNIVERSITY OF SOUTHERN CALIFORNIA)
Fatemeh Sheikholeslami (Bosch Center for AI)
Meisam Razaviyayn (University of southern California)
Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
More from the Same Authors
-
2021 : Empirical robustification of pre-trained classifiers »
Mohammad Sadegh Norouzzadeh · Wan-Yi Lin · Leonid Boytsov · Leslie Rice · Huan Zhang · Filipe Condessa · Zico Kolter -
2021 : Certified robustness against adversarial patch attacks via randomized cropping »
Wan-Yi Lin · Fatemeh Sheikholeslami · jinghao shi · Leslie Rice · Zico Kolter -
2021 : Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification »
Shiqi Wang · Huan Zhang · Kaidi Xu · Xue Lin · Suman Jana · Cho-Jui Hsieh · Zico Kolter -
2021 : Assessing Generalization of SGD via Disagreement Rates »
YiDing Jiang · Vaishnavh Nagarajan · Zico Kolter -
2021 : FERMI: Fair Empirical Risk Minimization Via Exponential Rényi Mutual Information »
Andrew Lowy · Rakesh Pavan · Sina Baharlouei · Meisam Razaviyayn · Ahmad Beirami -
2022 : Characterizing Datapoints via Second-Split Forgetting »
Pratyush Maini · Saurabh Garg · Zachary Lipton · Zico Kolter -
2022 : Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift »
Christina Baek · Yiding Jiang · aditi raghunathan · Zico Kolter -
2023 Poster: Can Neural Network Memorization Be Localized? »
Pratyush Maini · Michael Mozer · Hanie Sedghi · Zachary Lipton · Zico Kolter · Chiyuan Zhang -
2023 Poster: Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single »
Paul Vicol · Zico Kolter · Kevin Swersky -
2023 Poster: A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions »
Daniel Lundstrom · Meisam Razaviyayn -
2023 Poster: Mimetic Initialization of Self-Attention Layers »
Asher Trockman · Zico Kolter -
2023 Poster: Abstracting Imperfect Information Away from Two-Player Zero-Sum Games »
Samuel Sokota · Ryan D'Orazio · Chun Kai Ling · David Wu · Zico Kolter · Noam Brown -
2023 Oral: Mimetic Initialization of Self-Attention Layers »
Asher Trockman · Zico Kolter -
2023 Workshop: 2nd Workshop on Formal Verification of Machine Learning »
Mark Müller · Brendon G. Anderson · Leslie Rice · Zhouxing Shi · Shubham Ugare · Huan Zhang · Martin Vechev · Zico Kolter · Somayeh Sojoudi · Cho-Jui Hsieh -
2022 Workshop: Workshop on Formal Verification of Machine Learning »
Huan Zhang · Leslie Rice · Kaidi Xu · aditi raghunathan · Wan-Yi Lin · Cho-Jui Hsieh · Clark Barrett · Martin Vechev · Zico Kolter -
2022 Poster: A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks »
Huan Zhang · Shiqi Wang · Kaidi Xu · Yihan Wang · Suman Jana · Cho-Jui Hsieh · Zico Kolter -
2022 Spotlight: A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks »
Huan Zhang · Shiqi Wang · Kaidi Xu · Yihan Wang · Suman Jana · Cho-Jui Hsieh · Zico Kolter -
2022 Poster: Communicating via Markov Decision Processes »
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster -
2022 Spotlight: Communicating via Markov Decision Processes »
Samuel Sokota · Christian Schroeder · Maximilian Igl · Luisa Zintgraf · Phil Torr · Martin Strohmeier · Zico Kolter · Shimon Whiteson · Jakob Foerster -
2022 Poster: A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions »
Daniel Lundstrom · Tianjian Huang · Meisam Razaviyayn -
2022 Spotlight: A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions »
Daniel Lundstrom · Tianjian Huang · Meisam Razaviyayn -
2021 Workshop: A Blessing in Disguise: The Prospects and Perils of Adversarial Machine Learning »
Hang Su · Yinpeng Dong · Tianyu Pang · Eric Wong · Zico Kolter · Shuo Feng · Bo Li · Henry Liu · Dan Hendrycks · Francesco Croce · Leslie Rice · Tian Tian -
2021 Poster: DORO: Distributional and Outlier Robust Optimization »
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep Ravikumar -
2021 Poster: RATT: Leveraging Unlabeled Data to Guarantee Generalization »
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton -
2021 Spotlight: DORO: Distributional and Outlier Robust Optimization »
Runtian Zhai · Chen Dan · Zico Kolter · Pradeep Ravikumar -
2021 Oral: RATT: Leveraging Unlabeled Data to Guarantee Generalization »
Saurabh Garg · Sivaraman Balakrishnan · Zico Kolter · Zachary Lipton -
2021 Poster: On Proximal Policy Optimization's Heavy-tailed Gradients »
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar -
2021 Poster: Stabilizing Equilibrium Models by Jacobian Regularization »
Shaojie Bai · Vladlen Koltun · Zico Kolter -
2021 Spotlight: On Proximal Policy Optimization's Heavy-tailed Gradients »
Saurabh Garg · Joshua Zhanson · Emilio Parisotto · Adarsh Prasad · Zico Kolter · Zachary Lipton · Sivaraman Balakrishnan · Ruslan Salakhutdinov · Pradeep Ravikumar -
2021 Spotlight: Stabilizing Equilibrium Models by Jacobian Regularization »
Shaojie Bai · Vladlen Koltun · Zico Kolter -
2020 : Invited Talk: Zico Kolter (Q&A) »
Zico Kolter -
2020 : Invited Talk: Zico Kolter »
Zico Kolter -
2020 Poster: Adversarial Robustness Against the Union of Multiple Perturbation Models »
Pratyush Maini · Eric Wong · Zico Kolter -
2020 Poster: Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction »
Filipe de Avila Belbute-Peres · Thomas Economon · Zico Kolter -
2020 Poster: Certified Robustness to Label-Flipping Attacks via Randomized Smoothing »
Elan Rosenfeld · Ezra Winston · Pradeep Ravikumar · Zico Kolter -
2020 Poster: Overfitting in adversarially robust deep learning »
Leslie Rice · Eric Wong · Zico Kolter -
2019 Poster: Certified Adversarial Robustness via Randomized Smoothing »
Jeremy Cohen · Elan Rosenfeld · Zico Kolter -
2019 Poster: Wasserstein Adversarial Examples via Projected Sinkhorn Iterations »
Eric Wong · Frank R Schmidt · Zico Kolter -
2019 Oral: Wasserstein Adversarial Examples via Projected Sinkhorn Iterations »
Eric Wong · Frank R Schmidt · Zico Kolter -
2019 Oral: Certified Adversarial Robustness via Randomized Smoothing »
Jeremy Cohen · Elan Rosenfeld · Zico Kolter -
2019 Poster: SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver »
Po-Wei Wang · Priya Donti · Bryan Wilder · Zico Kolter -
2019 Poster: Adversarial camera stickers: A physical camera-based attack on deep learning systems »
Juncheng Li · Frank R Schmidt · Zico Kolter -
2019 Oral: SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver »
Po-Wei Wang · Priya Donti · Bryan Wilder · Zico Kolter -
2019 Oral: Adversarial camera stickers: A physical camera-based attack on deep learning systems »
Juncheng Li · Frank R Schmidt · Zico Kolter -
2018 Poster: Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks »
Mingyi Hong · Meisam Razaviyayn · Jason Lee -
2018 Oral: Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks »
Mingyi Hong · Meisam Razaviyayn · Jason Lee -
2018 Poster: Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope »
Eric Wong · Zico Kolter -
2018 Oral: Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope »
Eric Wong · Zico Kolter -
2017 Poster: Input Convex Neural Networks »
Brandon Amos · Lei Xu · Zico Kolter -
2017 Poster: OptNet: Differentiable Optimization as a Layer in Neural Networks »
Brandon Amos · Zico Kolter -
2017 Poster: A Semismooth Newton Method for Fast, Generic Convex Programming »
Alnur Ali · Eric Wong · Zico Kolter -
2017 Talk: OptNet: Differentiable Optimization as a Layer in Neural Networks »
Brandon Amos · Zico Kolter -
2017 Talk: Input Convex Neural Networks »
Brandon Amos · Lei Xu · Zico Kolter -
2017 Talk: A Semismooth Newton Method for Fast, Generic Convex Programming »
Alnur Ali · Eric Wong · Zico Kolter