The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

22 February 2018

Papers citing "The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"

50 / 711 papers shown

Title
Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models Yang Bai Ge Pei Jindong Gu Yong Yang Xingjun Ma 33 10 0 09 May 2024
Automated Program Repair: Emerging trends pose and expose problems for benchmarks J. Renzullo Pemma Reiter Westley Weimer Stephanie Forrest 42 1 0 08 May 2024
Locally Differentially Private In-Context Learning Chunyan Zheng Keke Sun Wenhao Zhao Haibo Zhou Lixin Jiang Shaoyang Song Chunlai Zhou 42 2 0 07 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 45 4 0 07 May 2024
Exploring prompts to elicit memorization in masked language model-based named entity recognition Yuxi Xia Anastasiia Sedova Pedro Henrique Luz de Araujo Vasiliki Kougia Lisa Nussbaumer Benjamin Roth 28 1 0 05 May 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 46 0 0 04 May 2024
Center-Based Relaxed Learning Against Membership Inference Attacks Xingli Fang Jung-Eun Kim 44 2 0 26 Apr 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression Avi Schwarzschild Zhili Feng Pratyush Maini Zachary Chase Lipton J. Zico Kolter 47 42 0 23 Apr 2024
From Matching to Generation: A Survey on Generative Information Retrieval Xiaoxi Li Jiajie Jin Yujia Zhou Yuyao Zhang Peitian Zhang Yutao Zhu Zhicheng Dou 3DV 84 46 0 23 Apr 2024
Resistance Against Manipulative AI: key factors and possible actions Piotr Wilczyñski Wiktoria Mieleszczenko-Kowszewicz P. Biecek 39 3 0 22 Apr 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 49 6 0 22 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 51 1 0 19 Apr 2024
Differentially Private Reinforcement Learning with Self-Play Dan Qiao Yu-Xiang Wang 36 0 0 11 Apr 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models Sebastian Bordt Harsha Nori Vanessa Rodrigues Besmira Nushi Rich Caruana 38 13 0 09 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 35 18 0 04 Apr 2024
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 37 6 0 03 Apr 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Yuxin Wen Leo Marchyok Sanghyun Hong Jonas Geiping Tom Goldstein Nicholas Carlini SILM AAML 39 9 0 01 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 68 8 0 31 Mar 2024
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model Jialun Cao Wuqi Zhang Shing-Chi Cheung 28 16 0 25 Mar 2024
Differentially Private Next-Token Prediction of Large Language Models James Flemings Meisam Razaviyayn Murali Annavaram 36 6 0 22 Mar 2024
Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? Ileana Montoya Perez P. Movahedi Valtteri Nieminen A. Airola T. Pahikkala 29 4 0 20 Mar 2024
Robustness Verifcation in Neural Networks Adrian Wurm 21 0 0 20 Mar 2024
RAFT: Adapting Language Model to Domain Specific RAG Tianjun Zhang Shishir G. Patil Naman Jain Sheng Shen Matei A. Zaharia Ion Stoica Joseph E. Gonzalez RALM 37 179 0 15 Mar 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution Vishal Asnani John Collomosse Tu Bui Xiaoming Liu S. Agarwal WIGM DiffM 63 13 0 14 Mar 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Ruixuan Liu Tianhao Wang Yang Cao Li Xiong AAML SILM 56 15 0 14 Mar 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 73 4 0 13 Mar 2024
Second-Order Information Matters: Revisiting Machine Unlearning for Large Language Models Kang Gu Md. Rafi Ur Rashid Najrin Sultana Shagufta Mehnaz MU 42 5 0 13 Mar 2024
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks Ehsan Nowroozi Imran Haider R. Taheri Mauro Conti AAML 32 5 0 05 Mar 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation James Flemings Murali Annavaram SyDa 45 11 0 01 Mar 2024
ROME: Memorization Insights from Text, Logits and Representation Bo Li Qing Xia Zhao Lijie Wen 33 2 0 01 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 40 20 0 01 Mar 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems Zhenting Qi Hanlin Zhang Eric Xing Sham Kakade Hima Lakkaraju SILM 44 18 0 27 Feb 2024
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification Yiping Song Juhua Zhang Zhiliang Tian Yuxin Yang Minlie Huang Dongsheng Li 39 10 0 26 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute Vinu Sankar Sadasivan Shoumik Saha Gaurang Sriramanan Priyatham Kattakinda Atoosa Malemir Chegini S. Feizi MIALM 43 34 0 23 Feb 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
Watermarking Makes Language Models Radioactive Tom Sander Pierre Fernandez Alain Durmus Matthijs Douze Teddy Furon WaLM 41 11 0 22 Feb 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 36 17 0 21 Feb 2024
Proving membership in LLM pretraining data via data watermarks Johnny Tian-Zheng Wei Ryan Yixiang Wang Robin Jia WaLM 32 22 0 16 Feb 2024
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service Yu Liu Zibo Wang Yifei Zhu Chen Chen FedML 25 3 0 15 Feb 2024
PAL: Proxy-Guided Black-Box Attack on Large Language Models Chawin Sitawarin Norman Mu David Wagner Alexandre Araujo ELM 32 29 0 15 Feb 2024
Copyright Traps for Large Language Models Matthieu Meeus Igor Shilov Manuel Faysse Yves-Alexandre de Montjoye 36 18 0 14 Feb 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization Idan Attias Gintare Karolina Dziugaite Mahdi Haghifam Roi Livni Daniel M. Roy 30 6 0 14 Feb 2024
Rethinking Machine Unlearning for Large Language Models Sijia Liu Yuanshun Yao Jinghan Jia Stephen Casper Nathalie Baracaldo ... Hang Li Kush R. Varshney Mohit Bansal Sanmi Koyejo Yang Liu AILaw MU 75 84 0 13 Feb 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training Tom Sander Maxime Sylvestre Alain Durmus 31 1 0 13 Feb 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining Mishaal Kazmi H. Lautraite Alireza Akbari Mauricio Soroco Qiaoyue Tang Tao Wang Sébastien Gambs Mathias Lécuyer 37 8 0 12 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 42 79 0 12 Feb 2024
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuning Zhicheng Liu Jian Lou Wenxuan Bao Yihan Hu Baochun Li Zhanyue Qin K. Ren 37 7 0 12 Feb 2024
On provable privacy vulnerabilities of graph representations Ruofan Wu Guanhua Fang Qiying Pan Mingyang Zhang Tengfei Liu Weiqiang Wang AAML 35 0 0 06 Feb 2024
Defining Neural Network Architecture through Polytope Structures of Dataset Sangmin Lee Abbas Mammadov Jong Chul Ye 68 0 0 04 Feb 2024
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization Arezoo Rajabi Reeya Pimple Aiswarya Janardhanan Surudhi Asokraj Bhaskar Ramasubramanian Radha Poovendran 20 0 0 02 Feb 2024