← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack CVPR 2024
Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness NIPS 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models CVPR 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions EMNLP 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024
Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness NIPS 2024
Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024
Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks EMNLP 2024
Feedback-Guided Autonomous Driving CVPR 2024
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NIPS 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation IJCAI 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024
Testing Generated Distributions in GANs to Penalize Mode Collapse AISTATS 2024
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024