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AI技術を利用して、実在する人物の顔や音声を模倣して偽コンテンツなどを作成する技術であるディープフェイクやその対策について解説します。
FlowPure: Continuous Normalizing Flows for Adversarial Purification
Authors: Elias Collaert, Abel Rodríguez, Sander Joos, Lieven Desmet, Vera Rimmer | Published: 2025-05-19
Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair
Authors: Han Zheng, Ilia Shumailov, Tianqi Fan, Aiden Hall, Mathias Payer | Published: 2025-05-19
The Hidden Dangers of Browsing AI Agents
Authors: Mykyta Mudryi, Markiyan Chaklosh, Grzegorz Wójcik | Published: 2025-05-19
Evaluatiing the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset
Authors: Sayon Palit, Daniel Woods | Published: 2025-05-19
From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents
Authors: Liangxuan Wu, Chao Wang, Tianming Liu, Yanjie Zhao, Haoyu Wang | Published: 2025-05-19
Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?
Authors: Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li | Published: 2025-05-19
Malware families discovery via Open-Set Recognition on Android manifest permissions
Authors: Filippo Leveni, Matteo Mistura, Francesco Iubatti, Carmine Giangregorio, Nicolò Pastore, Cesare Alippi, Giacomo Boracchi | Published: 2025-05-19
Web IP at Risk: Prevent Unauthorized Real-Time Retrieval by Large Language Models
Authors: Yisheng Zhong, Yizhu Wen, Junfeng Guo, Mehran Kafai, Heng Huang, Hanqing Guo, Zhuangdi Zhu | Published: 2025-05-19
R1dacted: Investigating Local Censorship in DeepSeek’s R1 Language Model
Authors: Ali Naseh, Harsh Chaudhari, Jaechul Roh, Mingshi Wu, Alina Oprea, Amir Houmansadr | Published: 2025-05-19