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Adversarial Learning

4,859 papers

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Papers

Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023
The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023
Rethinking Backdoor Attacks ICML 2023
CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023
Margin-based Neural Network Watermarking ICML 2023
Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023
Strategic Classification with Unknown User Manipulations ICML 2023
Adversarial Collaborative Learning on Non-IID Features ICML 2023
Reconstructive Neuron Pruning for Backdoor Defense ICML 2023
Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples ICML 2023
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023
Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer ICML 2023
Taxonomy-Structured Domain Adaptation ICML 2023
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks ICML 2023
Adversarial Cheap Talk ICML 2023
Stabilizing GANs’ Training with Brownian Motion Controller ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications ICML 2023
Computational Asymmetries in Robust Classification ICML 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023
Directed Chain Generative Adversarial Networks ICML 2023
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy ICML 2023