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Adversarial Learning

4854 directly classified papers

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Papers

AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack AAAI 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models AAAI 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis AAAI 2024
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack AAAI 2024
Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches INTERSPEECH 2024
On the Adversarial Robustness of Benjamini Hochberg NIPS 2024
Adversarial Socialbots Modeling Based on Structural Information Principles AAAI 2024
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model AAAI 2024
Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024
Textual-Driven Adversarial Purification for Speaker Verification INTERSPEECH 2024
Ungeneralizable Examples CVPR 2024
USD-AC: Unsupervised Speech Disentanglement for Accent Conversion INTERSPEECH 2024
Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator INTERSPEECH 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NIPS 2024
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding INTERSPEECH 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024
Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training CVPR 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
Sample-efficient Adversarial Imitation Learning JMLR 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024