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adversarial robustness

1,552 papers

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ADV AR

Co-occurring keywords · papers mentioning both

adversarial training (292) adversarial attack (262) neural network (146) adversarial example (121) adversarial learning (80) certified robustness (73) large language model (68) model robustness (66) adversarial defense (65) adversarial perturbation (65)

Papers

Corruption-Robust Lipschitz Contextual Search ALT 2024 CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024 Critically Assessing the State of the Art in Neural Network Verification JMLR 2024 Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial Datasets COLING 2024 Data-Free Hard-Label Robustness Stealing Attack AAAI 2024 DataFreeShield: Defending Adversarial Attacks without Training Data ICML 2024 DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain NeurIPS 2024 Decoupled Kullback-Leibler Divergence Loss NeurIPS 2024 Deep Active Learning with Noise Stability AAAI 2024 Deep anytime-valid hypothesis testing AISTATS 2024 DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation AAAI 2024 Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024 Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization CVPR 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS 2024 Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers NeurIPS 2024 Detection Defenses: An Empty Promise Against Adversarial Patch Attacks on Optical Flow WACV 2024 DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models CVPR 2024 Diffusion Models are Certifiably Robust Classifiers NeurIPS 2024 DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations CVPR 2024 Doubly Robust Instance-Reweighted Adversarial Training ICLR 2024 DualPure: An Efficient Adversarial Purification Method for Speech Command Recognition Interspeech 2024 Enhance Robustness of Language Models against Variation Attack through Graph Integration COLING 2024 Enhancing adversarial robustness in Natural Language Inference using explanations EMNLP 2024 Enhancing Adversarial Robustness in SNNs with Sparse Gradients ICML 2024