Robustness

Robust Fair Clustering with Group Membership Uncertainty Sets AISTATS 2025 Robust Kernel Hypothesis Testing under Data Corruption AISTATS 2025 RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise AAAI 2025 SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model ACL 2025 SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness AAAI 2025 SDD: Self-Degraded Defense against Malicious Fine-tuning ACL 2025 Shape and Texture: What Influences Reliable Optical Flow Estimation? CVPR 2025 Single Character Perturbations Break LLM Alignment AAAI 2025 Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models ACL 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025 TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection ACL 2025 Variational Adversarial Training Towards Policies with Improved Robustness AISTATS 2025 Vulnerability of LLMs to Vertically Aligned Text Manipulations ACL 2025 ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise NeurIPS 2024 1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness CVPR 2024 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Achieving Domain-Independent Certified Robustness via Knowledge Continuity NeurIPS 2024 Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation ACL 2024 A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives AAAI 2024 Agnostic Multi-Robust Learning using ERM AISTATS 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024