← Authors

Zico Kolter

31 papers · 2013–2024 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (11) πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸ”¬ Deep Specialist (12) πŸ—ƒοΈ Keyword Collector (148) πŸš€ Conference Pioneer πŸ’Ž Century Club (31) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (6)

Conferences

ICML (17) CVPR (5) AISTATS (3) ICLR (2) NIPS (2) ECCV (1) WACV (1)

Top co-authors

Eric Wong (5) Pradeep Ravikumar (3) Elan Rosenfeld (2) Zachary Lipton (2) Saurabh Garg (2) Vaishnavh Nagarajan (2) Sivaraman Balakrishnan (2) Po-Wei Wang (2) Frank Schmidt (2) Matt Wytock (2)

Keywords

adversarial robustness (7) adversarial attack (4) adversarial training (4) adversarial learning (3) convex optimization (3) image classification (3) neural network (3) model robustness (3) deep learning (3) reinforcement learning (2) certified robustness (2) adversarial example (2) randomized smoothing (2) certified defense (2) empirical risk minimization (2) distributionally robust optimization (2) model security (1) action recognition (1) zero-shot learning (1) semi-supervised learning (1)

Papers

Improving Alignment and Robustness with Circuit Breakers NIPS 2024
DART: Implicit Doppler Tomography for Radar Novel View Synthesis CVPR 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line NIPS 2024
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers CVPR 2024
Adversarial Robustness in Discontinuous Spaces via Alternating Sampling & Descent WACV 2023
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes AISTATS 2023
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models CVPR 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers CVPR 2023
Communicating via Markov Decision Processes ICML 2022
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation ECCV 2022
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks ICML 2022
Provably Safe PAC-MDP Exploration Using Analogies AISTATS 2021
DORO: Distributional and Outlier Robust Optimization ICML 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization ICML 2021
On Proximal Policy Optimization’s Heavy-tailed Gradients ICML 2021
Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021
Defending Multimodal Fusion Models Against Single-Source Adversaries CVPR 2021
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ICLR 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction ICML 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020
Overfitting in adversarially robust deep learning ICML 2020
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver ICML 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems ICML 2019
Certified Adversarial Robustness via Randomized Smoothing ICML 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations ICML 2019
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018
Epigraph projections for fast general convex programming ICML 2016
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013