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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors IJCAI 2023
Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models IJCAI 2023
Hijacking Robot Teams Through Adversarial Communication CORL 2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023
Manipulating Transfer Learning for Property Inference CVPR 2023
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023
Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023
Detecting Backdoors in Pre-Trained Encoders CVPR 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition CVPR 2023
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability NIPS 2023
Batchnorm Allows Unsupervised Radial Attacks NIPS 2023
Spatial-frequency channels, shape bias, and adversarial robustness NIPS 2023
Adversarial Examples Are Not Real Features NIPS 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness NIPS 2023
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features (Extended Abstract) IJCAI 2023
Improve Video Representation with Temporal Adversarial Augmentation IJCAI 2023
Learning Realistic Traffic Agents in Closed-loop CORL 2023
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving CORL 2023
Probabilistically robust conformal prediction UAI 2023
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection SEMEVAL 2023
Phase-shifted adversarial training UAI 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation CVPR 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay NIPS 2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models NIPS 2023
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking NIPS 2023