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adversarial example

647 papers

AE

Papers

Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness NeurIPS 2023 Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff ICCV 2023 Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023 Adversarial Local Distribution Regularization for Knowledge Distillation WACV 2023 Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks AISTATS 2023 Adversarial Parameter Attack on Deep Neural Networks ICML 2023 An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability ICCV 2023 Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation IJCAI 2023 Are aligned neural networks adversarially aligned? NeurIPS 2023 A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NeurIPS 2023 Backpropagation Path Search On Adversarial Transferability ICCV 2023 BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking NeurIPS 2023 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023 Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities AAAI 2023 Black-Box Adversarial Attack on Time Series Classification AAAI 2023 Boosting Adversarial Transferability by Achieving Flat Local Maxima NeurIPS 2023 Boosting Adversarial Transferability via Gradient Relevance Attack ICCV 2023 Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation ACL 2023 CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches NeurIPS 2023 CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning AAAI 2023 Certified Defense for Content Based Image Retrieval WACV 2023 CGBA: Curvature-aware Geometric Black-box Attack ICCV 2023 Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker NeurIPS 2023 Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently WACV 2023 Content-based Unrestricted Adversarial Attack NeurIPS 2023