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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024
Optimal Classification under Performative Distribution Shift NIPS 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024
Robust Nonparametric Regression under Poisoning Attack AAAI 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024
Consistency-GAN: Training GANs with Consistency Model AAAI 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks AAAI 2024
Backdoor Attacks via Machine Unlearning AAAI 2024
Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks AAAI 2024
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks AAAI 2024
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs AAAI 2024
Doubly Perturbed Task Free Continual Learning AAAI 2024
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality AAAI 2024
Friendly Attacks to Improve Channel Coding Reliability AAAI 2024
Cross-Class Feature Augmentation for Class Incremental Learning AAAI 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory NIPS 2024
Towards Stable Representations for Protein Interface Prediction NIPS 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024