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
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Robin Carpentier B. Zhao Hassan Jameel Asghar Dali Kaafar 85 1 0 18 Nov 2024
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Jialun Cao Songqiang Chen Wuqi Zhang Hau Ching Lo Shing-Chi Cheung 39 0 0 16 Nov 2024
On the Privacy Risk of In-context Learning Haonan Duan Adam Dziedzic Mohammad Yaghini Nicolas Papernot Franziska Boenisch SILM PILM 61 36 0 15 Nov 2024
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models Michael Aerni Javier Rando Edoardo Debenedetti Nicholas Carlini Daphne Ippolito F. Tramèr 44 3 0 15 Nov 2024
TEESlice: Protecting Sensitive Neural Network Models in Trusted Execution Environments When Attackers have Pre-Trained Models Ding Li Ziqi Zhang Mengyu Yao Y. Cai Yao Guo Xiangqun Chen FedML 39 2 0 15 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models Qian Sun Hanpeng Wu Xi Sheryl Zhang 36 0 0 11 Nov 2024
Slowing Down Forgetting in Continual Learning Pascal Janetzky Tobias Schlagenhauf Stefan Feuerriegel CLL 34 0 0 11 Nov 2024
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method Teodora Baluta Pascal Lamblin Daniel Tarlow Fabian Pedregosa Gintare Karolina Dziugaite MU 32 1 0 07 Nov 2024
Membership Inference Attacks against Large Vision-Language Models Zhan Li Yongtao Wu Yihang Chen F. Tonin Elias Abad Rocamora V. Cevher 44 4 0 05 Nov 2024
TDDBench: A Benchmark for Training data detection Zhihao Zhu Yi Yang Defu Lian 49 0 0 05 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
Do LLMs Know to Respect Copyright Notice? Jialiang Xu Shenglan Li Zhaozhuo Xu Denghui Zhang 40 2 0 02 Nov 2024
Public Domain 12M: A Highly Aesthetic Image-Text Dataset with Novel Governance Mechanisms Jordan Meyer Nick Padgett Cullen Miller Laura Exline 31 4 0 30 Oct 2024
Take Caution in Using LLMs as Human Surrogates: Scylla Ex Machina Yuan Gao Dokyun Lee Gordon Burtch Sina Fazelpour LRM 56 7 0 25 Oct 2024
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions Yujuan Fu Özlem Uzuner Meliha Yetisgen Fei Xia 59 4 0 24 Oct 2024
Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 28 2 0 13 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 53 5 0 11 Oct 2024
Decoding Secret Memorization in Code LLMs Through Token-Level Characterization Yuqing Nie Chong Wang Kaidi Wang Guoai Xu Guosheng Xu Haoyu Wang OffRL 166 1 0 11 Oct 2024
Private Language Models via Truncated Laplacian Mechanism Tianhao Huang Tao Yang Ivan Habernal Lijie Hu Di Wang 35 1 0 10 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD Dmitrii Avdiukhin Michael Dinitz Chenglin Fan G. Yaroslavtsev 34 0 0 09 Oct 2024
MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense Yixiang Qiu Hongyao Yu Hao Fang Wenbo Yu Wenbo Yu Bin Chen Shu-Tao Xia Ke Xu Ke Xu AAML 37 1 0 07 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 48 1 0 04 Oct 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation Xianzhi Li Ran Zmigrod Zhiqiang Ma Xiaomo Liu Xiaodan Zhu 21 1 0 03 Oct 2024
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 58 1 0 03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 83 7 0 03 Oct 2024
Adaptively Private Next-Token Prediction of Large Language Models James Flemings Meisam Razaviyayn Murali Annavaram 34 0 0 02 Oct 2024
Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias Federico Torrielli 32 0 0 02 Oct 2024
Deep Unlearn: Benchmarking Machine Unlearning Xavier F. Cadet Anastasia Borovykh Mohammad Malekzadeh S. Ahmadi-Abhari Hamed Haddadi BDL MU 37 1 0 02 Oct 2024
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data Jie Zhang Debeshee Das Gautam Kamath Florian Tramèr MIALM MIACV 238 16 1 29 Sep 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 34 2 0 27 Sep 2024
Predicting and analyzing memorization within fine-tuned Large Language Models Jérémie Dentan Davide Buscaldi A. Shabou Sonia Vanier 40 0 0 27 Sep 2024
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees Pablo A. Osorio-Marulanda John Esteban Castro Ramirez Mikel Hernández Jiménez Nicolas Moreno Reyes Gorka Epelde Unanue SyDa 23 1 0 27 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 29 10 0 26 Sep 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 44 4 0 26 Sep 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy Saber Malekmohammadi G. Farnadi 29 2 0 26 Sep 2024
Data-centric NLP Backdoor Defense from the Lens of Memorization Zhenting Wang Zhizhi Wang Mingyu Jin Mengnan Du Juan Zhai Shiqing Ma 33 3 0 21 Sep 2024
Training Large ASR Encoders with Differential Privacy Geeticka Chauhan Steve Chien Om Thakkar Abhradeep Thakurta Arun Narayanan 33 1 0 21 Sep 2024
Visualizationary: Automating Design Feedback for Visualization Designers using LLMs Sungbok Shin Sanghyun Hong Niklas Elmqvist 35 0 0 19 Sep 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research Falguni Roy Xiaofeng Ding K. -K. R. Choo Pan Zhou FaML 28 0 0 19 Sep 2024
Extracting Memorized Training Data via Decomposition Ellen Su Anu Vellore Amy Chang Raffaele Mura Blaine Nelson Paul Kassianik Amin Karbasi 29 2 0 18 Sep 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 42 5 0 18 Sep 2024
Recent Advances in Attack and Defense Approaches of Large Language Models Jing Cui Yishi Xu Zhewei Huang Shuchang Zhou Jianbin Jiao Junge Zhang PILM AAML 57 1 0 05 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 66 3 0 03 Sep 2024
Membership Inference Attacks Against In-Context Learning Rui Wen Zehan Li Michael Backes Yang Zhang 42 6 0 02 Sep 2024
Accurate Forgetting for All-in-One Image Restoration Model Xin Su Zhuoran Zheng CLL 28 1 0 01 Sep 2024
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage Md. Rafi Ur Rashid Jing Liu T. Koike-Akino Shagufta Mehnaz Ye Wang MU SILM 46 3 0 30 Aug 2024
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack Chayadon Lumbut Donlapark Ponnoprat 30 0 0 30 Aug 2024
LLM-PBE: Assessing Data Privacy in Large Language Models Qinbin Li Junyuan Hong Chulin Xie Jeffrey Tan Rachel Xin ... Dan Hendrycks Zhangyang Wang Bo Li Bingsheng He Dawn Song ELM PILM 40 13 0 23 Aug 2024
Strong Copyright Protection for Language Models via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 45 4 0 29 Jul 2024
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? Tao Feng Lizhen Qu Niket Tandon Zhuang Li Xiaoxi Kang Gholamreza Haffari LRM 35 4 0 29 Jul 2024