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
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection Xia Du Jiajie Zhu Jizhe Zhou Chi-Man Pun Zheng Lin Cong Wu Z. Chen Jun-Jie Luo AAML 26 0 0 11 May 2025
Standing Firm in 5G: A Single-Round, Dropout-Resilient Secure Aggregation for Federated Learning Yiwei Zhang R. Behnia Imtiaz Karim A. Yavuz Elisa Bertino 28 0 0 11 May 2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security Yiwei Zhang R. Behnia A. Yavuz Reza Ebrahimi E. Bertino FedML 31 0 0 09 May 2025
Privacy-Preserving Transformers: SwiftKey's Differential Privacy Implementation Abdelrahman Abouelenin M. Abdelrehim Raffy Fahim Amr Hendy Mohamed Afify 31 0 0 08 May 2025
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation Vaidehi Patil Yi-Lin Sung Peter Hase Jie Peng Tianlong Chen Mohit Bansal AAML MU 81 3 0 01 May 2025
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks? Hao Du Shang Liu Yang Cao AAML 47 0 0 28 Apr 2025
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage Rui Xin Niloofar Mireshghallah Shuyue Stella Li Michael Duan Hyunwoo Kim Yejin Choi Yulia Tsvetkov Sewoong Oh Pang Wei Koh 74 1 0 28 Apr 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 57 0 0 25 Apr 2025
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models Xuan Li Zhe Yin Xiaodong Gu Beijun Shen AAML MU 60 0 0 25 Apr 2025
Information Leakage of Sentence Embeddings via Generative Embedding Inversion Attacks Antonios Tragoudaras Theofanis Aslanidis Emmanouil Georgios Lionis Marina Orozco González Panagiotis Eustratiadis MIACV SILM 61 0 0 23 Apr 2025
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data Tong Chen Faeze Brahman Jiacheng Liu Niloofar Mireshghallah Weijia Shi Pang Wei Koh Luke Zettlemoyer Hannaneh Hajishirzi 36 0 0 20 Apr 2025
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Saksham Rastogi Pratyush Maini Danish Pruthi 42 0 0 18 Apr 2025
SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge Isolation Saransh Agrawal Kuan-Hao Huang MU KELM 54 0 0 17 Apr 2025
Memorization: A Close Look at Books Iris Ma Ian Domingo A. Krone-Martins Pierre Baldi Cristina V. Lopes 24 0 0 17 Apr 2025
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 46 0 0 14 Apr 2025
Large language models could be rote learners Yuyang Xu Renjun Hu Haochao Ying J. Wu Xing Shi Wei Lin ELM 145 0 0 11 Apr 2025
Sharpness-Aware Parameter Selection for Machine Unlearning Saber Malekmohammadi Hong kyu Lee Li Xiong MU 143 0 0 08 Apr 2025
Measuring Déjà vu Memorization Efficiently Narine Kokhlikyan Bargav Jayaraman Florian Bordes Chuan Guo Kamalika Chaudhuri 30 1 0 08 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 30 6 0 03 Apr 2025
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models Anil Ramakrishna Yixin Wan Xiaomeng Jin Kai-Wei Chang Zhiqi Bu Bhanukiran Vinzamuri V. Cevher Mingyi Hong Rahul Gupta AILaw MU 156 0 0 02 Apr 2025
Forward Learning with Differential Privacy Mingqian Feng Zeliang Zhang Jinyang Jiang Yijie Peng Chenliang Xu 39 0 0 01 Apr 2025
Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models Ryan Marinelli Magnus Eckhoff PILM 52 0 0 29 Mar 2025
Efficient Verified Machine Unlearning For Distillation Yijun Quan Zushu Li Giovanni Montana MU 27 0 0 28 Mar 2025
Instance-Level Data-Use Auditing of Visual ML Models Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter MLAU 60 0 0 28 Mar 2025
Malicious and Unintentional Disclosure Risks in Large Language Models for Code Generation Rafiqul Rabin Sean McGregor Nick Judd AAML PILM 57 0 0 27 Mar 2025
Language Models May Verbatim Complete Text They Were Not Explicitly Trained On Ken Ziyu Liu Christopher A. Choquette-Choo Matthew Jagielski Peter Kairouz Sanmi Koyejo Percy Liang Nicolas Papernot 51 0 0 21 Mar 2025
Learning on LLM Output Signatures for gray-box LLM Behavior Analysis Guy Bar-Shalom Fabrizio Frasca Derek Lim Yoav Gelberg Yftah Ziser Ran El-Yaniv Gal Chechik Haggai Maron 62 0 0 18 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
Energy-Latency Attacks: A New Adversarial Threat to Deep Learning H. B. Meftah W. Hamidouche Sid Ahmed Fezza Olivier Déforges AAML 46 0 0 06 Mar 2025
Memorize or Generalize? Evaluating LLM Code Generation with Evolved Questions Wentao Chen Lizhe Zhang Li Zhong Letian Peng Zilong Wang Jingbo Shang ELM 80 1 0 04 Mar 2025
Machine Learners Should Acknowledge the Legal Implications of Large Language Models as Personal Data Henrik Nolte Michèle Finck Kristof Meding AILaw PILM 75 0 0 03 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 1 0 24 Feb 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility Martin Kuo Jingyang Zhang Jianyi Zhang Minxue Tang Louis DiValentin ... William Chen Amin Hass Tianlong Chen Y. Chen H. Li MU KELM 37 2 0 24 Feb 2025
A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation Shilong Hou Ruilin Shang Zi Long Xianghua Fu Yin Chen 62 0 0 24 Feb 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text Matthieu Meeus Lukas Wutschitz Santiago Zanella Béguelin Shruti Tople Reza Shokri 75 0 0 24 Feb 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents Ivoline Ngong Swanand Kadhe Hao Wang K. Murugesan Justin D. Weisz Amit Dhurandhar K. Ramamurthy 44 2 0 22 Feb 2025
Interrogating LLM design under a fair learning doctrine Johnny Tian-Zheng Wei Maggie Wang Ameya Godbole Jonathan H. Choi Robin Jia 27 0 0 22 Feb 2025
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning Vaidehi Patil Elias Stengel-Eskin Mohit Bansal MU CLL 75 2 0 20 Feb 2025
Captured by Captions: On Memorization and its Mitigation in CLIP Models Wenhao Wang Adam Dziedzic Grace C. Kim Michael Backes Franziska Boenisch 83 0 0 11 Feb 2025
Episodic Memories Generation and Evaluation Benchmark for Large Language Models Alexis Huet Zied Ben-Houidi Dario Rossi LLMAG 54 0 0 21 Jan 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy Khaoula Chehbouni Martine De Cock Gilles Caporossi Afaf Taik Reihaneh Rabbany G. Farnadi 73 0 0 21 Jan 2025
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 42 0 0 12 Jan 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 33 10 0 10 Jan 2025
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 88 12 0 31 Dec 2024
Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning Nidhin Harilal Amit Rege Reza Akbarian Bafghi M. Raissi C. Monteleoni TDI 41 0 0 22 Dec 2024
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance? Sourav Banerjee Ayushi Agarwal Eishkaran Singh ELM 73 2 0 02 Dec 2024
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios Sangyeon Yoon Wonje Jeung Albert No 85 0 0 02 Dec 2024
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models Olivia Ma Jonathan Passerat-Palmbach Dmitrii Usynin 75 0 0 24 Nov 2024
No-regret Exploration in Shuffle Private Reinforcement Learning Shaojie Bai Mohammad Sadegh Talebi Chengcheng Zhao Peng Cheng Jiming Chen OffRL 71 0 0 18 Nov 2024
Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions Robin Carpentier B. Zhao H. Asghar Dali Kaafar 75 1 0 18 Nov 2024