Papers
6 papers found
Out of Style: RAG’s Fragility to Linguistic Variation
Tianyu Cao, Neel Bhandari, Akhila Yerukola et al.
How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities
Aly M. Kassem, Bernhard Schölkopf, Zhijing Jin
Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization
Xiang Fang, Wanlong Fang, Changshuo Wang
OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility
Yun Xin, Jianfeng Lu, Gang Li et al.
Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract)
Jingchao Gao, Ziqing Lu, Raghu Mudumbai et al.
Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models
Yuansen Liu, Yixuan Tang, Anthony Kum Hoe Tung