← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Structure-Guided Adversarial Training of Diffusion Models CVPR 2024
From Coarse to Fine-Grained Open-Set Recognition CVPR 2024
Adversarial Score Distillation: When score distillation meets GAN CVPR 2024
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement CVPR 2024
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model NIPS 2024
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NIPS 2024
Towards Understanding and Improving Adversarial Robustness of Vision Transformers CVPR 2024
Revisiting Adversarial Training Under Long-Tailed Distributions CVPR 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement CVPR 2024
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game NIPS 2024
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NIPS 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning AAAI 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing CVPR 2024
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack CVPR 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models CVPR 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024
Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks CVPR 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation EMNLP 2024