Papers
Attack as Defense: Safeguarding Large Vision-Language Models from Jailbreaking by Adversarial Attacks
Chongxin Li, Hanzhang Wang, Yuchun Fang
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor et al.
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
Piotr Przybyła, Euan McGill, Horacio Saggion
Attacking Vision-Language Computer Agents via Pop-ups
Yanzhe Zhang, Tao Yu, Diyi Yang
Attack-inspired Calibration Loss for Calibrating Crack Recognition
Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang et al.
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
Trang Nguyen, Anh Tran, Nhat Ho
Attacks by Content: Automated Fact-checking is an AI Security Issue
Michael Sejr Schlichtkrull
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder
Wonwoong Cho, Yan-Ying Chen, Matthew Klenk et al.
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
Man Liu, Huihui Bai, Feng Li et al.
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
Haipeng Fang, Sheng Tang, Juan Cao et al.
Attention as a Hypernetwork
Simon Schug, Seijin Kobayashi, Yassir Akram et al.
Attention-Based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
Atif Belal, Akhil Meethal, Francisco Perdigon Romero et al.
Attention-based Conditional Random Field for Financial Fraud Detection
Xiaoguang Wang, Chenxu Wang, Luyue Zhang et al.
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
Yusheng Zhao, Junyu Luo, Xiao Luo et al.
Attention Consistency for LLMs Explanation
Tian Lan, Jinyuan Xu, Xue He et al.
Attention Distillation: A Unified Approach to Visual Characteristics Transfer
Yang Zhou, Xu Gao, Zichong Chen et al.
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
Biao Yang, Muqi Huang, Yuhui Zhang et al.
Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning
Hai-Ming Xu, Qi Chen, Lei Wang et al.
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment
Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam et al.
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models
Zhisong Zhang, Yan Wang, Xinting Huang et al.
Attention-Guided Masked Autoencoders for Learning Image Representations
Leon Sick, Dominik Engel, Pedro Hermosilla et al.
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
Qiang Liu, Xinlong Chen, Yue Ding et al.
Attention-Imperceptible Backdoor Attacks on Vision Transformers
Zhishen Wang, Rui Wang, Lihua Jing
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers
Shijie Chen, Bernal Jimenez Gutierrez, Yu Su