defense mechanism

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation EMNLP 2024 Vulnerabilities of Large Language Models to Adversarial Attacks ACL 2024 Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents NeurIPS 2024 Where The Wild Things Are: Brute-Force SSH Attacks In The Wild And How To Stop Them NSDI 2024 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms ICLR 2023 Robustness of Trajectory Prediction Models Under Map-Based Attacks WACV 2023 A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022 Demystifying the Adversarial Robustness of Random Transformation Defenses ICML 2022 Exploring the Vulnerability of Deep Reinforcement Learning-based Emergency Control for Low Carbon Power Systems IJCAI 2022 Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack NeurIPS 2022 Robust Conversational Agents against Imperceptible Toxicity Triggers NAACL 2022 Evaluating Gradient Inversion Attacks and Defenses in Federated Learning NeurIPS 2021 SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations WACV 2020 Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples ICML 2018