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adversarial perturbation

461 papers

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Co-occurring keywords · papers mentioning both

adversarial attack (104) adversarial robustness (65) adversarial example (44) neural network (43) adversarial training (36) deep neural network (30) diffusion model (23) image classification (23) black-box attack (22) adversarial learning (22)

Papers

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024 Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models NeurIPS 2024 Local and Global Flatness for Federated Domain Generalization ECCV 2024 MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024 MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024 NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024 NeRFail: Neural Radiance Fields-Based Multiview Adversarial Attack AAAI 2024 Neural Style Protection: Counteracting Unauthorized Neural Style Transfer WACV 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 On the Adversarial Robustness of Benjamini Hochberg NeurIPS 2024 ORES: Open-Vocabulary Responsible Visual Synthesis AAAI 2024 OSLO: One-Shot Label-Only Membership Inference Attacks NeurIPS 2024 Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models CVPR 2024 PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models NeurIPS 2024 PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails ACL 2024 Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning CVPR 2024 Robust Universal Adversarial Perturbations ICML 2024 Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation NeurIPS 2024 Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure IJCAI 2024 Temporal-Distributed Backdoor Attack against Video Based Action Recognition AAAI 2024 The data-driven transferable adversarial space ACML 2024 Theoretical Understanding of Learning from Adversarial Perturbations ICLR 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 Threaten Spiking Neural Networks through Combining Rate and Temporal Information ICLR 2024