Title
DMRL: Data- and Model-aware Reward Learning for Data Extraction Zhiqiang Wang Ruoxi Cheng 21 0 0 07 May 2025
On the Generalization Properties of Diffusion Models Puheng Li Zhong Li Huishuai Zhang Jiang Bian 64 29 0 13 Mar 2025
Privacy Auditing of Large Language Models Ashwinee Panda Xinyu Tang Milad Nasr Christopher A. Choquette-Choo Prateek Mittal PILM 62 5 0 09 Mar 2025
Mitigating Memorization in LLMs using Activation Steering Manan Suri Nishit Anand Amisha Bhaskar LLMSV 50 2 0 08 Mar 2025
Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training Jaydeep Borkar Matthew Jagielski Katherine Lee Niloofar Mireshghallah David A. Smith Christopher A. Choquette-Choo PILM 78 0 0 24 Feb 2025
The Vendiscope: An Algorithmic Microscope For Data Collections Amey P. Pasarkar Adji Bousso Dieng 33 1 0 15 Feb 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang Adam Dziedzic Grace C. Kim Michael Backes Franziska Boenisch 79 0 0 11 Feb 2025
Soup to go: mitigating forgetting during continual learning with model averaging Anat Kleiman Gintare Karolina Dziugaite Jonathan Frankle Sham Kakade Mansheej Paul MoMe CLL KELM 51 0 0 09 Jan 2025
Continual Memorization of Factoids in Language Models Howard Chen Jiayi Geng Adithya Bhaskar Dan Friedman Danqi Chen KELM 45 1 0 11 Nov 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 43 1 0 04 Oct 2024
Towards a Theoretical Understanding of Memorization in Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang DiffM 36 5 0 03 Oct 2024
Data-centric NLP Backdoor Defense from the Lens of Memorization Zhenting Wang Zhizhi Wang Mingyu Jin Mengnan Du Juan Zhai Shiqing Ma 29 3 0 21 Sep 2024
Training Large ASR Encoders with Differential Privacy Geeticka Chauhan Steve Chien Om Thakkar Abhradeep Thakurta Arun Narayanan 20 1 0 21 Sep 2024
Schrodinger's Memory: Large Language Models Wei Wang Qing Li 32 1 0 16 Sep 2024
Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization Zhaohan Zhang Ziquan Liu Ioannis Patras 29 2 0 09 Aug 2024
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications Till Speicher Mohammad Aflah Khan Qinyuan Wu Vedant Nanda Soumi Das Bishwamittra Ghosh Krishna P. Gummadi Evimaria Terzi 41 3 0 27 Jul 2024
Demystifying Verbatim Memorization in Large Language Models Jing Huang Diyi Yang Christopher Potts ELM PILM MU 45 19 0 25 Jul 2024
Replication in Visual Diffusion Models: A Survey and Outlook Wenhao Wang Yifan Sun Zongxin Yang Zhengdong Hu Zhentao Tan Yi Yang 68 6 0 07 Jul 2024
Towards More Realistic Extraction Attacks: An Adversarial Perspective Yash More Prakhar Ganesh G. Farnadi AAML 66 6 0 02 Jul 2024
Extracting Training Data from Unconditional Diffusion Models Yunhao Chen Xingjun Ma Difan Zou Yu-Gang Jiang 36 5 0 18 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 31 2 0 11 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 40 6 0 06 Jun 2024
What makes unlearning hard and what to do about it Kairan Zhao M. Kurmanji George-Octavian Barbulescu Eleni Triantafillou Peter Triantafillou MU 58 16 0 03 Jun 2024
Data Reconstruction: When You See It and When You Don't Edith Cohen Haim Kaplan Yishay Mansour Shay Moran Kobbi Nissim Uri Stemmer Eliad Tsfadia AAML 37 2 0 24 May 2024
Learnable Privacy Neurons Localization in Language Models Ruizhe Chen Tianxiang Hu Yang Feng Zuo-Qiang Liu 31 12 0 16 May 2024
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models George-Octavian Barbulescu Peter Triantafillou MU 29 16 0 06 May 2024
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI Tanja Sarcevic Alicja Karlowicz Rudolf Mayer Ricardo A. Baeza-Yates Andreas Rauber 40 5 0 22 Apr 2024
Noise Masking Attacks and Defenses for Pretrained Speech Models Matthew Jagielski Om Thakkar Lun Wang AAML 21 4 0 02 Apr 2024
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy Jamie Hayes Ilia Shumailov Eleni Triantafillou Amr Khalifa Nicolas Papernot MU 33 25 0 02 Mar 2024
Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda Christopher A. Choquette-Choo Zhengming Zhang Yaoqing Yang Prateek Mittal PILM 21 20 0 01 Mar 2024
Machine Unlearning of Pre-trained Large Language Models Jin Yao Eli Chien Minxin Du Xinyao Niu Tianhao Wang Zezhou Cheng Xiang Yue MU 50 34 0 23 Feb 2024
Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships Myung Gyo Oh Hong Eun Ahn L. Park T.-H. Kwon MIALM AAML 22 0 0 19 Feb 2024
Do Membership Inference Attacks Work on Large Language Models? Michael Duan Anshuman Suri Niloofar Mireshghallah Sewon Min Weijia Shi Luke Zettlemoyer Yulia Tsvetkov Yejin Choi David E. Evans Hanna Hajishirzi MIALM 29 80 0 12 Feb 2024
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement Xisen Jin Xiang Ren KELM CLL 16 6 0 02 Feb 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization Wenhao Wang Muhammad Ahmad Kaleem Adam Dziedzic Michael Backes Nicolas Papernot Franziska Boenisch SSL 10 9 0 19 Jan 2024
EraseDiff: Erasing Data Influence in Diffusion Models Jing Wu Trung Le Munawar Hayat Mehrtash Harandi DiffM 64 14 0 11 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems Tianyu Cui Yanling Wang Chuanpu Fu Yong Xiao Sijia Li ... Junwu Xiong Xinyu Kong Zujie Wen Ke Xu Qi Li 55 56 0 11 Jan 2024
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models Aysan Esmradi Daniel Wankit Yip C. Chan AAML 25 11 0 18 Dec 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 56 0 0 16 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 9 1 0 06 Nov 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs Jiaao Chen Diyi Yang MU 17 134 0 31 Oct 2023
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 16 20 0 24 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 44 10 0 24 Oct 2023
MoPe: Model Perturbation-based Privacy Attacks on Language Models Marvin Li Jason Wang Jeffrey G. Wang Seth Neel AAML 25 18 0 22 Oct 2023
Unintended Memorization in Large ASR Models, and How to Mitigate It Lun Wang Om Thakkar Rajiv Mathews 28 5 0 18 Oct 2023
User Inference Attacks on Large Language Models Nikhil Kandpal Krishna Pillutla Alina Oprea Peter Kairouz Christopher A. Choquette-Choo Zheng Xu SILM AAML 28 15 0 13 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners Martin Pawelczyk Seth Neel Himabindu Lakkaraju MU 21 99 0 11 Oct 2023
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models Tianjian Li Haoran Xu Philipp Koehn Daniel Khashabi Kenton W. Murray 13 4 0 02 Oct 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 21 2 0 28 Sep 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 27 24 0 27 Sep 2023