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conftrace_

adversarial example

647 papers

AE

Papers

Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model ACL 2023 CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability EMNLP 2023 Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023 Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition CVPR 2023 Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models NeurIPS 2023 Downstream-agnostic Adversarial Examples ICCV 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023 Extracting Robust Models with Uncertain Examples ICLR 2023 Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration AAAI 2023 Finding Actual Descent Directions for Adversarial Training ICLR 2023 Frequency-aware GAN for Adversarial Manipulation Generation ICCV 2023 Generalist: Decoupling Natural and Robust Generalization CVPR 2023 General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization Interspeech 2023 Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization AAAI 2023 Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023 Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos AAAI 2023 Global-Local Regularization Via Distributional Robustness AISTATS 2023 How to Choose your Best Allies for a Transferable Attack? ICCV 2023 Identification of the Adversary from a Single Adversarial Example ICML 2023 ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation ICLR 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 Improving Adversarial Transferability via Intermediate-level Perturbation Decay NeurIPS 2023 Improving Robust Fariness via Balance Adversarial Training AAAI 2023 Inequality phenomenon in l_∞-adversarial training, and its unrealized threats ICLR 2023 Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup CVPR 2023