Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets

31 March 2022

Sanghyun Hong

Papers citing "Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets"

50 / 82 papers shown

Title
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses Ehsanul Kabir Lucas Craig Shagufta Mehnaz MIACV AAML 38 0 0 05 Apr 2025
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity D. López Nuria Rodríguez Barroso M. V. Luzón Francisco Herrera 58 0 0 12 Mar 2025
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models Michael-Andrei Panaitescu-Liess Pankayaraj Pathmanathan Yigitcan Kaya Zora Che Bang An Sicheng Zhu Aakriti Agrawal Furong Huang AAML 59 0 0 10 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 45 0 0 10 Mar 2025
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 43 0 0 12 Nov 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 24 1 0 15 Oct 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm? Rui Wen Michael Backes Yang Zhang TDI AAML 41 0 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
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 38 3 0 30 Aug 2024
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services Shaopeng Fu Xuexue Sun Ke Qing Tianhang Zheng Di Wang AAML MIACV SILM 53 0 0 05 Aug 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 67 1 0 02 Jul 2024
Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning Nexhi Sula Abhinav Kumar Jie Hou Han Wang R. Tourani MU 23 0 0 01 Jul 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs Filippo Galli Luca Melis Tommaso Cucinotta 44 7 0 24 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 40 1 0 11 Jun 2024
Memorized Images in Diffusion Models share a Subspace that can be Located and Deleted Ruchika Chavhan Ondrej Bohdal Yongshuo Zong Da Li Timothy M. Hospedales 31 4 0 01 Jun 2024
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation Harsh Chaudhari Giorgio Severi John Abascal Matthew Jagielski Christopher A. Choquette-Choo Milad Nasr Cristina Nita-Rotaru Alina Oprea SILM AAML 72 28 0 30 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh V. Chawla Jundong Li 45 7 0 17 May 2024
Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems Amin Aminifar Matin Shokri Amir Aminifar FedML 29 8 0 09 May 2024
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection Yekai Li Rufan Zhang Wenxin Rong Xianghang Mi 28 2 0 15 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 26 9 0 01 Apr 2024
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models Shanglun Feng Florian Tramèr SILM 38 14 0 30 Mar 2024
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models Zhiyuan Yu Xiaogeng Liu Shunning Liang Zach Cameron Chaowei Xiao Ning Zhang 28 40 0 26 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 35 4 0 21 Mar 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps Ruixuan Liu Tianhao Wang Yang Cao Li Xiong AAML SILM 48 15 0 14 Mar 2024
Efficiently Computing Similarities to Private Datasets A. Backurs Zinan Lin S. Mahabadi Sandeep Silwal Jakub Tarnawski 65 4 0 13 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 32 20 0 01 Mar 2024
Learning to Poison Large Language Models During Instruction Tuning Yao Qiang Xiangyu Zhou Saleh Zare Zade Mohammad Amin Roshani Douglas Zytko Dongxiao Zhu AAML SILM 32 20 0 21 Feb 2024
Auditing Private Prediction Karan Chadha Matthew Jagielski Nicolas Papernot Christopher A. Choquette-Choo Milad Nasr 30 4 0 14 Feb 2024
Comprehensive Assessment of Jailbreak Attacks Against LLMs Junjie Chu Yugeng Liu Ziqing Yang Xinyue Shen Michael Backes Yang Zhang AAML 35 65 0 08 Feb 2024
Attacking Byzantine Robust Aggregation in High Dimensions Sarthak Choudhary Aashish Kolluri Prateek Saxena AAML 27 1 0 22 Dec 2023
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks Bang Wu He Zhang Xiangwen Yang Shuo Wang Minhui Xue Shirui Pan Xingliang Yuan 59 6 0 13 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Transpose Attack: Stealing Datasets with Bidirectional Training Guy Amit Mosh Levy Yisroel Mirsky SILM AAML 41 0 0 13 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 17 1 0 06 Nov 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
Unintended Memorization in Large ASR Models, and How to Mitigate It Lun Wang Om Thakkar Rajiv Mathews 33 5 0 18 Oct 2023
Defending Our Privacy With Backdoors Dominik Hintersdorf Lukas Struppek Daniel Neider Kristian Kersting SILM AAML 18 2 0 12 Oct 2023
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan R. Ullman 23 5 0 05 Oct 2023
Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti Giorgio Severi Nicholas Carlini Christopher A. Choquette-Choo Matthew Jagielski Milad Nasr Eric Wallace Florian Tramèr MIALM 38 38 0 11 Sep 2023
Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models Zhenhua Wang Wei Xie Kai Chen Baosheng Wang Zhiwen Gui Enze Wang AAML SILM 20 6 0 16 Aug 2023
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Xinyue Shen Z. Chen Michael Backes Yun Shen Yang Zhang SILM 33 244 0 07 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 32 4 0 02 Aug 2023
Co(ve)rtex: ML Models as storage channels and their (mis-)applications Md Abdullah Al Mamun Quazi Mishkatul Alam Erfan Shayegani Pedram Zaree Ihsen Alouani Nael B. Abu-Ghazaleh 37 0 0 17 Jul 2023
Membership Inference Attacks on DNNs using Adversarial Perturbations Hassan Ali Adnan Qayyum Ala I. Al-Fuqaha Junaid Qadir AAML 24 3 0 11 Jul 2023
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction Zitao Chen Karthik Pattabiraman 15 20 0 04 Jul 2023
On the Exploitability of Instruction Tuning Manli Shu Jiong Wang Chen Zhu Jonas Geiping Chaowei Xiao Tom Goldstein SILM 25 91 0 28 Jun 2023
TMI! Finetuned Models Leak Private Information from their Pretraining Data John Abascal Stanley Wu Alina Oprea Jonathan R. Ullman 31 16 0 01 Jun 2023
A Note On Interpreting Canary Exposure Matthew Jagielski 16 4 0 31 May 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla Galen Andrew Peter Kairouz H. B. McMahan Alina Oprea Sewoong Oh 30 20 0 29 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zi-Han Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 39 36 0 24 May 2023