robustness

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks ICML 2024 Deep Networks Always Grok and Here is Why ICML 2024 Density Ratio Estimation with Doubly Strong Robustness ICML 2024 DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems ICML 2024 Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection ECCV 2024 Environment Design for Inverse Reinforcement Learning ICML 2024 Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples ICML 2024 Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML 2024 Generative Image as Action Models CoRL 2024 Geometry-Aware Instrumental Variable Regression ICML 2024 HAMLET: Graph Transformer Neural Operator for Partial Differential Equations ICML 2024 Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions ICML 2024 Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training ICML 2024 Incremental Topological Ordering and Cycle Detection with Predictions ICML 2024 IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics ICML 2024 LaWa: Using Latent Space for In-Generation Image Watermarking ECCV 2024 Learning Divergence Fields for Shift-Robust Graph Representations ICML 2024 Learning H-Infinity Locomotion Control CoRL 2024 Lookbehind-SAM: k steps back, 1 step forward ICML 2024 LookupViT: Compressing visual information to a limited number of tokens ECCV 2024 Multigroup Robustness ICML 2024 Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields ICML 2024 No Free Prune: Information-Theoretic Barriers to Pruning at Initialization ICML 2024 Non-clairvoyant Scheduling with Partial Predictions ICML 2024