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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion AAAI 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024
Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024
CAD: Photorealistic 3D Generation via Adversarial Distillation CVPR 2024
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024
Ungeneralizable Examples CVPR 2024
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks AAAI 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers AAAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024
Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024
Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning AAAI 2024
Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024
Friendly Attacks to Improve Channel Coding Reliability AAAI 2024
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality AAAI 2024
Doubly Perturbed Task Free Continual Learning AAAI 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs AAAI 2024
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks AAAI 2024
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks AAAI 2024
Backdoor Attacks via Machine Unlearning AAAI 2024