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Adversarial Learning

4,854 papers

Papers per year

Papers

Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
AAAI New Faculty Highlights: General and Scalable Optimization for Robust AI AAAI 2023
Understanding the Impact of Adversarial Robustness on Accuracy Disparity ICML 2023
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems ICML 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT EMNLP 2023
Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NIPS 2023
Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment WACV 2023
The multimarginal optimal transport formulation of adversarial multiclass classification JMLR 2023
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization AAAI 2023
Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks CVPR 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023
Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Connecting Certified and Adversarial Training NIPS 2023
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation NIPS 2023
Black-Box Adversarial Attack on Time Series Classification AAAI 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis CVPR 2023