AIセキュリティポータルbot

Safety at Scale: A Comprehensive Survey of Large Model Safety

Authors: Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Xudong Han, Haonan Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah Erfani, Tim Baldwin, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang | Published: 2025-02-02 | Updated: 2025-03-19
Indirect Prompt Injection
Prompt Injection
Attack Method

LLM Safety Alignment is Divergence Estimation in Disguise

Authors: Rajdeep Haldar, Ziyi Wang, Qifan Song, Guang Lin, Yue Xing | Published: 2025-02-02
Prompt Injection
Convergence Analysis
Large Language Model
Safety Alignment

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation

Authors: Ali Naseh, Yuefeng Peng, Anshuman Suri, Harsh Chaudhari, Alina Oprea, Amir Houmansadr | Published: 2025-02-01 | Updated: 2025-06-30
RAG
Prompt leaking
Membership Inference

Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning

Authors: Maximilian Egger, Mayank Bakshi, Rawad Bitar | Published: 2025-01-31
Convergence Guarantee
Convergence Analysis
Communication Efficiency

BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos

Authors: Lehao Lin, Ke Wang, Maha Abdallah, Wei Cai | Published: 2025-01-30 | Updated: 2025-04-01
CAPTCHA
Video Reliability Assurance
Vulnerability of Adversarial Examples

Smoothed Embeddings for Robust Language Models

Authors: Ryo Hase, Md Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang | Published: 2025-01-27
Prompt Injection
Membership Inference
Adversarial Training

Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges

Authors: Emad Efatinasab, Alessandro Brighente, Denis Donadel, Mauro Conti, Mirco Rampazzo | Published: 2025-01-27 | Updated: 2025-06-24
Energy Management
Model Extraction Attack
Adversarial Learning

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning

Authors: Lili Zhang, Quanyan Zhu, Herman Ray, Ying Xie | Published: 2025-01-26 | Updated: 2025-05-14
Network Threat Detection
User Activity Analysis
Improvement of Learning

I Know What You Did Last Summer: Identifying VR User Activity Through VR Network Traffic

Authors: Sheikh Samit Muhaimin, Spyridon Mastorakis | Published: 2025-01-25 | Updated: 2025-05-05
Application Classification Method
Changes in User Behavior
Machine Learning Technology

Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise

Authors: Angelo Rodio, Zheng Chen, Erik G. Larsson | Published: 2025-01-24 | Updated: 2025-07-23
Characteristics of RDP
Efficiency of Distributed Learning
Differential Privacy