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Adversarial Learning

4854 directly classified papers

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Papers

Unlocking Deterministic Robustness Certification on ImageNet NIPS 2023
Exploring Geometry of Blind Spots in Vision models NIPS 2023
QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks NIPS 2023
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks NIPS 2023
Content-based Unrestricted Adversarial Attack NIPS 2023
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference NIPS 2023
Learning Provably Robust Estimators for Inverse Problems via Jittering NIPS 2023
Blurred-Dilated Method for Adversarial Attacks NIPS 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers NIPS 2023
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback NIPS 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training CVPR 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning ICML 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023
Adversarial Cheap Talk ICML 2023
Adversarial Learning of Distributional Reinforcement Learning ICML 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks NIPS 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation NIPS 2023
Adversarially Robust Learning with Uncertain Perturbation Sets NIPS 2023
Use perturbations when learning from explanations NIPS 2023
Benchmarking Robustness to Adversarial Image Obfuscations NIPS 2023
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NIPS 2023
Understanding and Improving Ensemble Adversarial Defense NIPS 2023
Stable Diffusion is Unstable NIPS 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima NIPS 2023