adversarial robustness

Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees AAAI 2024 Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions ACL 2024 Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring ICML 2024 Exploring Adversarial Robustness of Deep State Space Models NeurIPS 2024 Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective WACV 2024 Expressive Losses for Verified Robustness via Convex Combinations ICLR 2024 Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024 Faster Repeated Evasion Attacks in Tree Ensembles NeurIPS 2024 Fast Reliability Estimation for Neural Networks with Adversarial Attack-Driven Importance Sampling UAI 2024 FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NeurIPS 2024 Few-Shot Adversarial Prompt Learning on Vision-Language Models NeurIPS 2024 Fight Back Against Jailbreaking via Prompt Adversarial Tuning NeurIPS 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients NeurIPS 2024 Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024 Fostering Trustworthiness in Machine Learning Algorithms AAAI 2024 Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification CVPR 2024 GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers AAAI 2024 GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models NeurIPS 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NeurIPS 2024 Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024 High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 If You Want to Be Robust, Be Wary of Initialization NeurIPS 2024