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Adversarial Learning

4,854 papers

Papers per year

Papers

The multimarginal optimal transport formulation of adversarial multiclass classification JMLR 2023
An Analysis of Robustness of Non-Lipschitz Networks JMLR 2023
Generalization Bounds for Adversarial Contrastive Learning JMLR 2023
PAC-learning for Strategic Classification JMLR 2023
Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023
RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors L4DC 2023
Domain adaptation using optimal transport for invariant learning using histopathology datasets MIDL 2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction MLHC 2023
SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection SEMEVAL 2023
SUTNLP at SemEval-2023 Task 10: RLAT-Transformer for explainable online sexism detection SEMEVAL 2023
MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism? SEMEVAL 2023
ODA_SRIB at SemEval-2023 Task 9: A Multimodal Approach for Improved Intimacy Analysis SEMEVAL 2023
Benign Overfitting in Adversarially Robust Linear Classification UAI 2023
MFA: Multi-layer Feature-aware Attack for Object Detection UAI 2023
Probabilistically robust conformal prediction UAI 2023
Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023
Phase-shifted adversarial training UAI 2023
On the Role of Generalization in Transferability of Adversarial Examples UAI 2023
Panoptic-Aware Image-to-Image Translation WACV 2023
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks WACV 2023
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training WACV 2023
RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing WACV 2023
MORGAN: Meta-Learning-Based Few-Shot Open-Set Recognition via Generative Adversarial Network WACV 2023
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs WACV 2023