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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

On the Convergence of an Adaptive Momentum Method for Adversarial Attacks AAAI 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
Consistency-GAN: Training GANs with Consistency Model AAAI 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
Adversarial Purification with the Manifold Hypothesis AAAI 2024
Detection and Defense of Unlearnable Examples AAAI 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples AAAI 2024
Provable Robustness against a Union of L_0 Adversarial Attacks AAAI 2024
Stronger and Transferable Node Injection Attacks AAAI 2024
NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024
Promoting Counterfactual Robustness through Diversity AAAI 2024
Game-Theoretic Unlearnable Example Generator AAAI 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024
Toward More Generalized Malicious URL Detection Models AAAI 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024
Neuroevolution of a Multi-Generator GAN (Student Abstract) AAAI 2024
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization AAAI 2023
Practical Disruption of Image Translation Deepfake Networks AAAI 2023
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation AAAI 2023
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor CVPR 2023
Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023