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Adversarial Learning

5,204 papers

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Papers

DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification NeurIPS 2023 Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability NeurIPS 2023 Diffusion-GAN: Training GANs with Diffusion ICLR 2023 DIP: Dead code Insertion based Black-box Attack for Programming Language Model ACL 2023 Directed Chain Generative Adversarial Networks ICML 2023 Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023 Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023 Disentangled Representation Learning for Multilingual Speaker Recognition Interspeech 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 Distracting Downpour: Adversarial Weather Attacks for Motion Estimation ICCV 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 2023 Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback NeurIPS 2023 Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023 Domain adaptation using optimal transport for invariant learning using histopathology datasets MIDL 2023 Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023 Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text ACL 2023 Do Perceptually Aligned Gradients Imply Robustness? ICML 2023 DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures Interspeech 2023 Doubly Adversarial Federated Bandits ICML 2023 Downstream-agnostic Adversarial Examples ICCV 2023 Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine AAAI 2023 Dropout Is NOT All You Need to Prevent Gradient Leakage AAAI 2023