Papers
Adversaries Can Misuse Combinations of Safe Models
Erik Jones, Anca Dragan, Jacob Steinhardt
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
Maayan Ehrenberg, Roy Ganz, Nir Rosenfeld
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
Omar Faruqe Riyad, Jahedul Alam Junaed
AdversaryAI at BLP-2025 Task 2: A Think, Refine, and Generate (TriGen) System with LoRA and Self-Refinement for Code Generation
Omar Faruqe Riyad, Jahedul Alam Junaed
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training
Fenghua Weng, Jian Lou, Jun Feng et al.
Adverse Event Extraction from Discharge Summaries: A New Dataset, Annotation Scheme, and Initial Findings
Imane Guellil, Salomé Andres, Atul Anand et al.
AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation
Kaustubh Dhole, Ramraj Chandradevan, Eugene Agichtein
Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning
Li Huang, Haowen Liu, Qiang Gao et al.
AdvGrasp: Adversarial Attacks on Robotic Grasping from a Physical Perspective
Xiaofei Wang, Mingliang Han, Tianyu Hao et al.
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
Yaopei Zeng, Yuanpu Cao, Bochuan Cao et al.
AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
Minbeom Kim, Hwanhee Lee, Joonsuk Park et al.
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
Lei Zhu, Jun Zhou, Rick Siow Mong Goh et al.
Advocating Character Error Rate for Multilingual ASR Evaluation
Thennal D K, Jesin James, Deepa Padmini Gopinath et al.
AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption
Joonsung Jeon, Woo Jae Kim, Suhyeon Ha et al.
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
Anselm Paulus, Arman Zharmagambetov, Chuan Guo et al.
AdvSumm: Adversarial Training for Bias Mitigation in Text Summarization
Mukur Gupta, Nikhil Reddy Varimalla, Nicholas Deas et al.
AdvWave: Stealthy Adversarial Jailbreak Attack against Large Audio-Language Models
Mintong Kang, Chejian Xu, Bo Li
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks
Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay
A Dynamic Fusion Model for Consistent Crisis Response
Xiaoying Song, Anirban Saha Anik, Eduardo Blanco et al.
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
Di Jin, Jun Yang, Xiaobao Wang et al.
A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations
Ahmad Al-Tawaha, Javad Lavaei, Ming Jin
A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks
Murad Dawood, Ahmed Shokry, Maren Bennewitz
A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting
Jiankai Zheng, Liang Xie
AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails
Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar et al.
AEHRC at BioLaySumm 2025: Leveraging T5 for Lay Summarisation of Radiology Reports
Wenjun Zhang, Shekhar Chandra, Bevan Koopman et al.