Zico Kolter

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

Achievements

+9 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🔬 Deep Specialist (12) 🗃️ Keyword Collector (148) 🚀 Conference Pioneer 💎 Century Club (31) 🔥 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