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
• 2022 : Characterizing Datapoints via Second-Split Forgetting »
  Pratyush Maini · Saurabh Garg · Zachary Lipton · Zico Kolter
• 2022 : Improving adversarial robustness via joint classification and multiple explicit detection classes »
  Sina Baharlouei · Fatemeh Sheikholeslami · Meisam Razaviyayn · 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 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
• 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 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: 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