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 / 710 papers shown

Title
Do LLMs Dream of Ontologies? Marco Bombieri Paolo Fiorini Simone Paolo Ponzetto M. Rospocher CLL 24 2 0 26 Jan 2024
Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model Julia Barnett Hugo Flores Garcia Bryan Pardo 40 7 0 25 Jan 2024
Inference Attacks Against Face Recognition Model without Classification Layers Yuanqing Huang Huilong Chen Yinggui Wang Lei Wang 37 1 0 24 Jan 2024
Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection Lucas Lange Nils Wenzlitschke Erhard Rahm 18 7 0 24 Jan 2024
Red Teaming Visual Language Models Mukai Li Lei Li Yuwei Yin Masood Ahmed Zhenguang Liu Qi Liu VLM 33 30 0 23 Jan 2024
Secure Federated Learning Approaches to Diagnosing COVID-19 Rittika Adhikari Christopher Settles FedML OOD 11 0 0 23 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 24 3 0 22 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization Wenhao Wang Muhammad Ahmad Kaleem Adam Dziedzic Michael Backes Nicolas Papernot Franziska Boenisch SSL 19 9 0 19 Jan 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien Haoyu Wang Ziang Chen Pan Li MU 32 8 0 18 Jan 2024
Federated Unlearning for Human Activity Recognition Kongyang Chen Dongping Zhang Yaping Chai Weibin Zhang Shaowei Wang Jiaxing Shen MU 29 24 0 17 Jan 2024
Privacy Preserving Adaptive Experiment Design Jiachun Li Kaining Shi David Simchi-Levi 34 1 0 16 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 25 2 0 05 Jan 2024
Data-Centric Foundation Models in Computational Healthcare: A Survey Yunkun Zhang Jin Gao Zheling Tan Lingfeng Zhou Kexin Ding Mu Zhou Shaoting Zhang Dequan Wang AI4CE 34 22 0 04 Jan 2024
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach Mahtab Talaei Iman Izadi FedML 24 4 0 04 Jan 2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems Iker Perez Jason Wong Piotr Skalski Stuart Burrell Richard Mortier Derek McAuley David Sutton FedML 17 1 0 03 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 25 5 0 02 Jan 2024
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning Xiao-Yang Liu Rongyi Zhu Daochen Zha Jiechao Gao Shan Zhong Matt White Meikang Qiu 23 15 0 29 Dec 2023
Knowledge Distillation of LLM for Automatic Scoring of Science Education Assessments Ehsan Latif Luyang Fang Ping Ma Xiaoming Zhai 16 4 0 26 Dec 2023
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) Qiaoyue Tang Frederick Shpilevskiy Mathias Lécuyer 32 14 0 21 Dec 2023
Social Learning: Towards Collaborative Learning with Large Language Models Amirkeivan Mohtashami Florian Hartmann Sian Gooding Lukás Zilka Matt Sharifi Blaise Agüera y Arcas 8 10 0 18 Dec 2023
Diffence: Fencing Membership Privacy With Diffusion Models Yuefeng Peng Ali Naseh Amir Houmansadr AAML 20 1 0 07 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang Santu Rana Sunil R. Gupta Svetha Venkatesh BDL MU 16 20 0 07 Dec 2023
Understanding (Un)Intended Memorization in Text-to-Image Generative Models Ali Naseh Jaechul Roh Amir Houmansadr DiffM 20 6 0 06 Dec 2023
Memory Triggers: Unveiling Memorization in Text-To-Image Generative Models through Word-Level Duplication Ali Naseh Jaechul Roh Amir Houmansadr 40 6 0 06 Dec 2023
Low-Cost High-Power Membership Inference Attacks Sajjad Zarifzadeh Philippe Liu Reza Shokri 47 34 0 06 Dec 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions Alexander Boudewijn Andrea Filippo Ferraris D. Panfilo Vanessa Cocca Sabrina Zinutti Karel De Schepper Carlo Rossi Chauvenet 34 2 0 29 Nov 2023
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective Lukas Wutschitz Boris Köpf Andrew J. Paverd Saravan Rajmohan Ahmed Salem Shruti Tople Santiago Zanella Béguelin Menglin Xia Victor Rühle 44 13 0 27 Nov 2023
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release Jie Fu Qingqing Ye Haibo Hu Zhili Chen Lulu Wang Kuncan Wang Xun Ran 16 14 0 23 Nov 2023
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates Michael Menart Enayat Ullah Raman Arora Raef Bassily Cristóbal Guzmán 32 2 0 22 Nov 2023
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning Jian Zhang Bowen Li Jie Li Chentao Wu MU 39 3 0 22 Nov 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 58 0 0 16 Nov 2023
Privacy Threats in Stable Diffusion Models Thomas Cilloni Charles Fleming Charles Walter 25 3 0 15 Nov 2023
Towards Verifiable Text Generation with Symbolic References Lucas Torroba Hennigen Zejiang Shen Aniruddha Nrusimha Bernhard Gapp David Sontag Yoon Kim 20 10 0 15 Nov 2023
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks Ting-Yun Chang Jesse Thomason Robin Jia 15 14 0 15 Nov 2023
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation Weixiang Yan Haitian Liu Yunkun Wang Yunzhe Li Qian Chen ... Tingyu Lin Weishan Zhao Li Zhu Hari Sundaram Shuiguang Deng ELM LRM 26 35 0 14 Nov 2023
Inference and Interference: The Role of Clipping, Pruning and Loss Landscapes in Differentially Private Stochastic Gradient Descent Lauren Watson Eric Gan Mohan Dantam Baharan Mirzasoleiman Rik Sarkar 23 1 0 12 Nov 2023
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation Verna Dankers Ivan Titov Dieuwke Hupkes 35 5 0 09 Nov 2023
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State Koyena Pal Jiuding Sun Andrew Yuan Byron C. Wallace David Bau 22 50 0 08 Nov 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 26 2 0 07 Nov 2023
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models Haoran Li Dadi Guo Donghao Li Wei Fan Qi Hu Xin Liu Chunkit Chan Duanyi Yao Yuan Yao Yangqiu Song PILM 29 24 0 07 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 17 1 0 06 Nov 2023
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering Huifa Li Jie Fu Zhili Chen Xiaomin Yang Haitao Liu Xinpeng Ling 19 1 0 06 Nov 2023
Advances in Embodied Navigation Using Large Language Models: A Survey Jinzhou Lin Han Gao Xuxiang Feng Rongtao Xu Changwei Wang Man Zhang Li Guo Shibiao Xu LM&Ro LLMAG 66 9 0 01 Nov 2023
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models Xinwei Wu Junzhuo Li Minghui Xu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong MU KELM 27 46 0 31 Oct 2023
Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation Kunlin Cai Jinghuai Zhang Zhiqing Hong Will Shand Guang Wang Desheng Zhang Jianfeng Chi Yuan Tian 16 1 0 28 Oct 2023
Proving Test Set Contamination in Black Box Language Models Yonatan Oren Nicole Meister Niladri Chatterji Faisal Ladhak Tatsunori B. Hashimoto HILM 22 129 0 26 Oct 2023
Privately Aligning Language Models with Reinforcement Learning Fan Wu Huseyin A. Inan A. Backurs Varun Chandrasekaran Janardhan Kulkarni Robert Sim 29 6 0 25 Oct 2023
Locally Differentially Private Document Generation Using Zero Shot Prompting Saiteja Utpala Sara Hooker Pin-Yu Chen 13 36 0 24 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