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Adversarial Learning

4,854 papers

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Papers

Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation ICCV 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training ICCV 2023
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023
F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives ICCV 2023
Structure Invariant Transformation for better Adversarial Transferability ICCV 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning ICCV 2023
Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective ICCV 2023
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction ICCV 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV 2023
Reinforced Disentanglement for Face Swapping without Skip Connection ICCV 2023
How to Choose your Best Allies for a Transferable Attack? ICCV 2023
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff ICCV 2023
Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis ICCV 2023
Towards Building More Robust Models with Frequency Bias ICCV 2023
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks ICCV 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability ICCV 2023
Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients ICCV 2023
From Robustness to Privacy and Back ICML 2023
Adversarially Robust PAC Learnability of Real-Valued Functions ICML 2023
On the Functional Similarity of Robust and Non-Robust Neural Representations ICML 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance ICML 2023
Stratified Adversarial Robustness with Rejection ICML 2023