Security and Privacy on Generative Data in AIGC: A Survey

18 September 2023

Papers citing "Security and Privacy on Generative Data in AIGC: A Survey"

21 / 21 papers shown

Title
Large Language Models for Cyber Security: A Systematic Literature Review HanXiang Xu Shenao Wang Ningke Li Kaidi Wang Yanjie Zhao Kai Chen Ting Yu Yang Liu Haoyu Wang 34 23 0 08 May 2024
A Survey of Generative AI for Intelligent Transportation Systems Huan Yan Yong Li 23 8 0 13 Dec 2023
Detecting Generated Images by Real Images Only Xiuli Bi Bo Liu Fan Yang Bin Xiao Weisheng Li Gao Huang P. Cosman 41 9 0 02 Nov 2023
Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection Tao Wang Yushu Zhang Zixuan Yang Hua Zhang Zhongyun Hua PICV CVBM 45 7 0 02 Jul 2023
The Internal State of an LLM Knows When It's Lying A. Azaria Tom Michael Mitchell HILM 218 299 0 26 Apr 2023
Improving Synthetically Generated Image Detection in Cross-Concept Settings P. Dogoulis Giorgos Kordopatis-Zilos I. Kompatsiaris Symeon Papadopoulos DiffM 142 18 0 24 Apr 2023
MGTBench: Benchmarking Machine-Generated Text Detection Xinlei He Xinyue Shen Z. Chen Michael Backes Yang Zhang DeLMO 61 100 0 26 Mar 2023
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Xiang Tian Bo Zheng Yao-wu Chen AAML 41 11 0 21 Mar 2023
On the detection of synthetic images generated by diffusion models Riccardo Corvi D. Cozzolino Giada Zingarini Giovanni Poggi Koki Nagano L. Verdoliva 133 218 0 01 Nov 2022
Reducing Training Sample Memorization in GANs by Training with Memorization Rejection Andrew Bai Cho-Jui Hsieh Wendy Kan Hsuan-Tien Lin GAN 34 5 0 21 Oct 2022
UnGANable: Defending Against GAN-based Face Manipulation Zheng Li Ning Yu A. Salem Michael Backes Mario Fritz Yang Zhang AAML PICV CVBM 42 22 0 03 Oct 2022
Red-Teaming the Stable Diffusion Safety Filter Javier Rando Daniel Paleka David Lindner Lennard Heim Florian Tramèr DiffM 126 183 0 03 Oct 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 225 446 0 23 Aug 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 131 97 0 01 Jul 2022
Deepfake Network Architecture Attribution Tianyun Yang Ziyao Huang Juan Cao Lei Li Xirong Li 60 52 0 28 Feb 2022
When do GANs replicate? On the choice of dataset size Qianli Feng Chen Guo Fabian Benitez-Quiroz Aleix M. Martinez 142 54 0 23 Feb 2022
Truthful AI: Developing and governing AI that does not lie Owain Evans Owen Cotton-Barratt Lukas Finnveden Adam Bales Avital Balwit Peter Wills Luca Righetti William Saunders HILM 236 109 0 13 Oct 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 56 186 0 17 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,815 0 14 Dec 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 223 616 0 03 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 282 10,354 0 12 Dec 2018