adversarial robustness

Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models ACL 2024 AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer NeurIPS 2024 Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers EMNLP 2024 Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences NeurIPS 2024 Advancing the Robustness of Large Language Models through Self-Denoised Smoothing NAACL 2024 Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024 Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters NeurIPS 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 Adversarially-Robust Inference on Trees via Belief Propagation COLT 2024 Adversarial Purification with the Manifold Hypothesis AAAI 2024 Adversarial Robustification via Text-to-Image Diffusion Models ECCV 2024 Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches Interspeech 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024 Adversarial Training Should Be Cast as a Non-Zero-Sum Game ICLR 2024 A Fourier Perspective of Feature Extraction and Adversarial Robustness IJCAI 2024 AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents NeurIPS 2024 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ICLR 2024 An LLM can Fool Itself: A Prompt-Based Adversarial Attack ICLR 2024 An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records EMNLP 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 A Recipe for Improved Certifiable Robustness ICLR 2024 Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology NeurIPS 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024