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Adversarial Learning

4,854 papers

Papers per year

Papers

From Robustness to Privacy and Back ICML 2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness AISTATS 2023
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023
Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023
Connecting Certified and Adversarial Training NIPS 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis CVPR 2023
Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor CVPR 2023
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets CVPR 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations ICCV 2023
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023
Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023
Multi-Classifier Adversarial Optimization for Active Learning AAAI 2023
VoteTRANS: Detecting Adversarial Text without Training by Voting on Hard Labels of Transformations ACL 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023
Structure Invariant Transformation for better Adversarial Transferability ICCV 2023
Manipulating Transfer Learning for Property Inference CVPR 2023
Attack Can Benefit: An Adversarial Approach to Recognizing Facial Expressions under Noisy Annotations AAAI 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization ICML 2023
Probabilistically robust conformal prediction UAI 2023
Enhancing the Self-Universality for Transferable Targeted Attacks CVPR 2023
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models EACL 2023