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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023
On the Privacy Risks of Algorithmic Recourse AISTATS 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023
Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023
AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization AISTATS 2023
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023
Discriminator-Cooperated Feature Map Distillation for GAN Compression CVPR 2023
Computational Asymmetries in Robust Classification ICML 2023
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. ICML 2023
Regret-Minimizing Double Oracle for Extensive-Form Games ICML 2023
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023
How Bad is Top-$K$ Recommendation under Competing Content Creators? ICML 2023
Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations ICML 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023
Reconstructive Neuron Pruning for Backdoor Defense ICML 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy ICML 2023
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process ICML 2023
Probabilistic Categorical Adversarial Attack and Adversarial Training ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023