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Adversarial Learning

4854 directly classified papers

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Papers

Wasserstein distributional robustness of neural networks NIPS 2023
Robustness Guarantees for Adversarially Trained Neural Networks NIPS 2023
Effective Targeted Attacks for Adversarial Self-Supervised Learning NIPS 2023
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance NIPS 2023
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks NIPS 2023
Strong and Precise Modulation of Human Percepts via Robustified ANNs NIPS 2023
Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances CVPR 2023
Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023
StyLess: Boosting the Transferability of Adversarial Examples CVPR 2023
Robust Single Image Reflection Removal Against Adversarial Attacks CVPR 2023
Architectural Backdoors in Neural Networks CVPR 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions CVPR 2023
Towards Transferable Targeted Adversarial Examples CVPR 2023
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion INTERSPEECH 2023
Robust Linear Regression for General Feature Distribution AISTATS 2023
Adversarial Self-Attention for Language Understanding AAAI 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training CVPR 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis CVPR 2023
Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework CVPR 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization CVPR 2023
Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023