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ORCIDJ. Zico Kolter
Jeremy Z. Kolter
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2022
[c101]Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster:
Communicating via Markov Decision Processes. ICML 2022: 20314-20328- [c100]Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML 2022: 26591-26604 - [i80]Asher Trockman, J. Zico Kolter:
Patches Are All You Need? CoRR abs/2201.09792 (2022) - [i79]Runtian Zhai
, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. CoRR abs/2201.12293 (2022) - [i78]Taylor A. Howell, Simon Le Cleac'h, J. Zico Kolter, Mac Schwager, Zachary Manchester:
Dojo: A Differentiable Simulator for Robotics. CoRR abs/2203.00806 (2022) - [i77]Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter:
Deep Equilibrium Optical Flow Estimation. CoRR abs/2204.08442 (2022) - [i76]Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde:
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR abs/2205.06154 (2022) - [i75]Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer:
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. CoRR abs/2206.05825 (2022) - [i74]Nicholas Carlini, Florian Tramèr, Krishnamurthy Dvijotham, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! CoRR abs/2206.10550 (2022) - [i73]Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter:
Defending Multimodal Fusion Models against Single-Source Adversaries. CoRR abs/2206.12714 (2022) - 2021
- [c99]Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. AISTATS 2021: 1216-1224 - [c98]Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter:
Defending Multimodal Fusion Models Against Single-Source Adversaries. CVPR 2021: 3340-3349 - [c97]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy 2021: 199-210 - [c96]Joshua Williams, J. Zico Kolter:
A Bayesian Model of Cash Bail Decisions. FAccT 2021: 827-837 - [c95]Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. ICLR 2021 - [c94]Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. ICLR 2021 - [c93]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. ICLR 2021 - [c92]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. ICLR 2021 - [c91]Rizal Fathony, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Multiplicative Filter Networks. ICLR 2021 - [c90]Chirag Pabbaraju, Ezra Winston, J. Zico Kolter:
Estimating Lipschitz constants of monotone deep equilibrium models. ICLR 2021 - [c89]Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter:
Provably robust classification of adversarial examples with detection. ICLR 2021 - [c88]Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. ICLR 2021 - [c87]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. ICML 2021: 554-565 - [c86]Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. ICML 2021: 3598-3609 - [c85]Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Zachary C. Lipton, Sivaraman Balakrishnan, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. ICML 2021: 3610-3619 - [c84]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. ICML 2021: 12345-12355 - [c83]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. KDD 2021: 1461-1469 - [c82]Zhichun Huang, Shaojie Bai, J. Zico Kolter:
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations. NeurIPS 2021: 9639-9650 - [c81]Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. NeurIPS 2021: 16818-16832 - [c80]Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter:
Monte Carlo Tree Search With Iteratively Refining State Abstractions. NeurIPS 2021: 18698-18709 - [c79]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. NeurIPS 2021: 21860-21871 - [c78]Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. NeurIPS 2021: 22745-22757 - [c77]Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter:
Robustness between the worst and average case. NeurIPS 2021: 27840-27851 - [c76]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially robust learning for security-constrained optimal power flow. NeurIPS 2021: 28677-28689 - [c75]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification. NeurIPS 2021: 29909-29921 - [i72]Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter:
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries. CoRR abs/2102.00029 (2021) - [i71]Saurabh Garg, Joshua Zhanson, Emilio Parisotto, Adarsh Prasad, J. Zico Kolter, Sivaraman Balakrishnan, Zachary C. Lipton, Ruslan Salakhutdinov, Pradeep Ravikumar:
On Proximal Policy Optimization's Heavy-tailed Gradients. CoRR abs/2102.10264 (2021) - [i70]Jeremy M. Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar:
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. CoRR abs/2103.00065 (2021) - [i69]Shiqi Wang, Huan Zhang, Kaidi Xu, Xue Lin, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Verification. CoRR abs/2103.06624 (2021) - [i68]Asher Trockman, J. Zico Kolter:
Orthogonalizing Convolutional Layers with the Cayley Transform. CoRR abs/2104.07167 (2021) - [i67]Priya L. Donti, David Rolnick, J. Zico Kolter:
DC3: A learning method for optimization with hard constraints. CoRR abs/2104.12225 (2021) - [i66]Saurabh Garg, Sivaraman Balakrishnan, J. Zico Kolter, Zachary C. Lipton:
RATT: Leveraging Unlabeled Data to Guarantee Generalization. CoRR abs/2105.00303 (2021) - [i65]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i64]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Ravikumar:
DORO: Distributional and Outlier Robust Optimization. CoRR abs/2106.06142 (2021) - [i63]Shaoru Chen, Eric Wong, J. Zico Kolter, Mahyar Fazlyab:
DeepSplit: Scalable Verification of Deep Neural Networks via Operator Splitting. CoRR abs/2106.09117 (2021) - [i62]Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter:
Assessing Generalization of SGD via Disagreement. CoRR abs/2106.13799 (2021) - [i61]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. CoRR abs/2106.14342 (2021) - [i60]Runtian Zhai, Chen Dan, Arun Sai Suggala, J. Zico Kolter, Pradeep Ravikumar:
Boosted CVaR Classification. CoRR abs/2110.13948 (2021) - [i59]Yujia Huang, Huan Zhang, Yuanyuan Shi, J. Zico Kolter, Anima Anandkumar:
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds. CoRR abs/2111.01395 (2021) - [i58]Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha, Larry T. Pileggi, J. Zico Kolter:
Adversarially Robust Learning for Security-Constrained Optimal Power Flow. CoRR abs/2111.06961 (2021) - [i57]Swaminathan Gurumurthy, Shaojie Bai, Zachary Manchester, J. Zico Kolter:
Joint inference and input optimization in equilibrium networks. CoRR abs/2111.13236 (2021) - 2020
- [c74]Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. AISTATS 2020: 4130-4140 - [c73]Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli:
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR 2020 - [c72]Po-Wei Wang, Daria Stepanova, Csaba Domokos, J. Zico Kolter:
Differentiable learning of numerical rules in knowledge graphs. ICLR 2020 - [c71]Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. ICLR 2020 - [c70]Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. ICML 2020: 2402-2411 - [c69]Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. ICML 2020: 6640-6650 - [c68]Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. ICML 2020: 8093-8104 - [c67]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. ICML 2020: 8230-8241 - [c66]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. IV 2020: 1753-1758 - [c65]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. NeurIPS 2020 - [c64]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. NeurIPS 2020 - [c63]Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. NeurIPS 2020 - [c62]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Denoised Smoothing: A Provable Defense for Pretrained Classifiers. NeurIPS 2020 - [c61]Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming . NeurIPS 2020 - [c60]Ezra Winston, J. Zico Kolter:
Monotone operator equilibrium networks. NeurIPS 2020 - [i56]Eric Wong, Leslie Rice, J. Zico Kolter:
Fast is better than free: Revisiting adversarial training. CoRR abs/2001.03994 (2020) - [i55]Gaurav Manek, J. Zico Kolter:
Learning Stable Deep Dynamics Models. CoRR abs/2001.06116 (2020) - [i54]Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter:
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. CoRR abs/2002.03018 (2020) - [i53]Leslie Rice, Eric Wong, J. Zico Kolter:
Overfitting in adversarially robust deep learning. CoRR abs/2002.11569 (2020) - [i52]Hadi Salman, Mingjie Sun, Greg Yang, Ashish Kapoor, J. Zico Kolter:
Black-box Smoothing: A Provable Defense for Pretrained Classifiers. CoRR abs/2003.01908 (2020) - [i51]Filipe Condessa, J. Zico Kolter:
Provably robust deep generative models. CoRR abs/2004.10608 (2020) - [i50]Ezra Winston, J. Zico Kolter:
Monotone operator equilibrium networks. CoRR abs/2006.08591 (2020) - [i49]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. CoRR abs/2006.08656 (2020) - [i48]Eric Wong, Tim Schneider, Joerg Schmitt, Frank R. Schmidt, J. Zico Kolter:
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. CoRR abs/2007.00147 (2020) - [i47]Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter:
Provably Safe PAC-MDP Exploration Using Analogies. CoRR abs/2007.03574 (2020) - [i46]Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. CoRR abs/2007.04439 (2020) - [i45]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes. CoRR abs/2007.07210 (2020) - [i44]Eric Wong, J. Zico Kolter:
Learning perturbation sets for robust machine learning. CoRR abs/2007.08450 (2020) - [i43]Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants:
A community-powered search of machine learning strategy space to find NMR property prediction models. CoRR abs/2008.05994 (2020) - [i42]Anit Kumar Sahu, Satya Narayan Shukla, J. Zico Kolter:
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks. CoRR abs/2010.04205 (2020) - [i41]Mingjie Sun, Siddhant Agarwal, J. Zico Kolter:
Poisoned classifiers are not only backdoored, they are fundamentally broken. CoRR abs/2010.09080 (2020) - [i40]Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter:
Enforcing robust control guarantees within neural network policies. CoRR abs/2011.08105 (2020) - [i39]Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter:
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. CoRR abs/2012.02661 (2020) - [i38]Po-Wei Wang, J. Zico Kolter:
Community detection using fast low-cardinality semidefinite programming. CoRR abs/2012.02676 (2020) - [i37]Jonathan Dinu, Jeffrey P. Bigham, J. Zico Kolter:
Challenging common interpretability assumptions in feature attribution explanations. CoRR abs/2012.02748 (2020) - [i36]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. CoRR abs/2012.03137 (2020)
2010 – 2019
- 2019
- [j5]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [c59]Po-Wei Wang, J. Zico Kolter:
Low-Rank Semidefinite Programming for the MAX2SAT Problem. AAAI 2019: 1641-1649 - [c58]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI 2019: 6104-6111 - [c57]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. ACL (1) 2019: 6558-6569 - [c56]Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. AISTATS 2019: 1370-1378 - [c55]Henning Lange, Mario Bergés, J. Zico Kolter:
Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring. ICASSP 2019: 8340-8344 - [c54]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. ICLR (Poster) 2019 - [c53]Vaishnavh Nagarajan, J. Zico Kolter:
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. ICLR (Poster) 2019 - [c52]Jeremy M. Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. ICML 2019: 1310-1320 - [c51]Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. ICML 2019: 3896-3904 - [c50]Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. ICML 2019: 6545-6554 - [c49]Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. ICML 2019: 6808-6817 - [c48]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. NeurIPS 2019: 688-699 - [c47]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. NeurIPS 2019: 9558-9570 - [c46]J. Zico Kolter, Gaurav Manek:
Learning Stable Deep Dynamics Models. NeurIPS 2019: 11126-11134 - [c45]Vaishnavh Nagarajan, J. Zico Kolter:
Uniform convergence may be unable to explain generalization in deep learning. NeurIPS 2019: 11611-11622 - [c44]Juncheng Li, Shuhui Qu, Xinjian Li, Joseph Szurley, J. Zico Kolter, Florian Metze:
Adversarial Music: Real world Audio Adversary against Wake-word Detection System. NeurIPS 2019: 11908-11918 - [i35]Vaishnavh Nagarajan, J. Zico Kolter:
Generalization in Deep Networks: The Role of Distance from Initialization. CoRR abs/1901.01672 (2019) - [i34]Jeremy M. Cohen, Elan Rosenfeld, J. Zico Kolter:
Certified Adversarial Robustness via Randomized Smoothing. CoRR abs/1902.02918 (2019) - [i33]Vaishnavh Nagarajan, J. Zico Kolter:
Uniform convergence may be unable to explain generalization in deep learning. CoRR abs/1902.04742 (2019) - [i32]Eric Wong, Frank R. Schmidt, J. Zico Kolter:
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations. CoRR abs/1902.07906 (2019) - [i31]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. CoRR abs/1903.04101 (2019) - [i30]Juncheng Li, Frank R. Schmidt, J. Zico Kolter:
Adversarial camera stickers: A physical camera-based attack on deep learning systems. CoRR abs/1904.00759 (2019) - [i29]Po-Wei Wang, Priya L. Donti, Bryan Wilder, J. Zico Kolter:
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. CoRR abs/1905.12149 (2019) - [i28]Vaishnavh Nagarajan, J. Zico Kolter:
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. CoRR abs/1905.13344 (2019) - [i27]Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. CoRR abs/1906.00295 (2019) - [i26]Joseph Szurley, J. Zico Kolter:
Perceptual Based Adversarial Audio Attacks. CoRR abs/1906.06355 (2019) - [i25]Brandon Amos, Vladlen Koltun, J. Zico Kolter:
The Limited Multi-Label Projection Layer. CoRR abs/1906.08707 (2019) - [i24]Mark Lee, J. Zico Kolter:
On Physical Adversarial Patches for Object Detection. CoRR abs/1906.11897 (2019) - [i23]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. CoRR abs/1909.01377 (2019) - [i22]Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. CoRR abs/1909.04068 (2019) - [i21]Satya Narayan Shukla, Anit Kumar Sahu, Devin Willmott, J. Zico Kolter:
Black-box Adversarial Attacks with Bayesian Optimization. CoRR abs/1909.13857 (2019) - [i20]Akshay Agrawal, Brandon Amos, Shane T. Barratt, Stephen P. Boyd, Steven Diamond, J. Zico Kolter:
Differentiable Convex Optimization Layers. CoRR abs/1910.12430 (2019) - [i19]Juncheng B. Li, Shuhui Qu, Xinjian Li, J. Zico Kolter, Florian Metze:
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System. CoRR abs/1911.00126 (2019) - [i18]Joshua Williams, J. Zico Kolter:
Dynamic Modeling and Equilibria in Fair Decision Making. CoRR abs/1911.06837 (2019) - [i17]Rizal Fathony, J. Zico Kolter:
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning. CoRR abs/1912.00965 (2019) - 2018
- [c43]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Convolutional Sequence Modeling Revisited. ICLR (Workshop) 2018 - [c42]Eric Wong, J. Zico Kolter:
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope. ICML 2018: 5283-5292 - [c41]Chun Kai Ling, Fei Fang, J. Zico Kolter:
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. IJCAI 2018: 396-402 - [c40]