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Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services

5 August 2024

Papers citing "Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services"

50 / 69 papers shown

Title
A Unified Membership Inference Method for Visual Self-supervised Encoder via Part-aware Capability Jie Zhu Jirong Zha Ding Li Leye Wang 75 8 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 77 16 0 01 Apr 2024
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models Shanglun Feng Florian Tramèr SILM 89 18 0 30 Mar 2024
Logits of API-Protected LLMs Leak Proprietary Information Matthew Finlayson Xiang Ren Swabha Swayamdipta PILM 95 25 0 14 Mar 2024
Stealing Part of a Production Language Model Nicholas Carlini Daniel Paleka Krishnamurthy Dvijotham Thomas Steinke Jonathan Hayase ... Arthur Conmy Itay Yona Eric Wallace David Rolnick Florian Tramèr MLAU AAML 58 85 0 11 Mar 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks Sayedeh Leila Noorbakhsh Binghui Zhang Yuan Hong Binghui Wang AAML 100 10 0 04 Mar 2024
Fast Adversarial Attacks on Language Models In One GPU Minute Vinu Sankar Sadasivan Shoumik Saha Gaurang Sriramanan Priyatham Kattakinda Atoosa Malemir Chegini Soheil Feizi MIALM 106 42 0 23 Feb 2024
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 74 12 0 12 Nov 2023
An LLM can Fool Itself: A Prompt-Based Adversarial Attack Xilie Xu Keyi Kong Ning Liu Li-zhen Cui Di Wang Jingfeng Zhang Mohan Kankanhalli AAML SILM 116 88 0 20 Oct 2023
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders Jan Dubiñski Stanislaw Pawlak Franziska Boenisch Tomasz Trzciñski Adam Dziedzic AAML 52 5 0 12 Oct 2023
Improved Baselines with Visual Instruction Tuning Haotian Liu Chunyuan Li Yuheng Li Yong Jae Lee VLM MLLM 181 2,826 0 05 Oct 2023
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System Daphne Ippolito Nicholas Carlini Katherine Lee Milad Nasr Yun William Yu 63 6 0 09 Sep 2023
Detecting Language Model Attacks with Perplexity Gabriel Alon Michael Kamfonas AAML 118 227 0 27 Aug 2023
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Dustin Podell Zion English Kyle Lacey A. Blattmann Tim Dockhorn Jonas Muller Joe Penna Robin Rombach 269 2,450 0 04 Jul 2023
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu ... Dacheng Li Eric Xing Haotong Zhang Joseph E. Gonzalez Ion Stoica ALM OSLM ELM 469 4,444 0 09 Jun 2023
Content-based Unrestricted Adversarial Attack Zhaoyu Chen Yue Liu Shuang Wu Kaixun Jiang Shouhong Ding Wenqiang Zhang DiffM 88 67 0 18 May 2023
Visual Instruction Tuning Haotian Liu Chunyuan Li Qingyang Wu Yong Jae Lee SyDa VLM MLLM 571 4,925 0 17 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 86 20 0 04 Apr 2023
Reproducible scaling laws for contrastive language-image learning Mehdi Cherti Romain Beaumont Ross Wightman Mitchell Wortsman Gabriel Ilharco Cade Gordon Christoph Schuhmann Ludwig Schmidt J. Jitsev VLM CLIP 135 821 0 14 Dec 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning Jinghuai Zhang Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong AAML 75 21 0 15 Nov 2022
Dataset Inference for Self-Supervised Models Adam Dziedzic Haonan Duan Muhammad Ahmad Kaleem Nikita Dhawan Jonas Guan Yannis Cattan Franziska Boenisch Nicolas Papernot 110 28 0 16 Sep 2022
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning Peizhuo Lv Pan Li Shenchen Zhu Shengzhi Zhang Kai Chen ... Fan Xiang Yuling Cai Hualong Ma Yingjun Zhang Guozhu Meng AAML 78 7 0 08 Sep 2022
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning Xinlei He Hongbin Liu Neil Zhenqiang Gong Yang Zhang AAML MIACV 83 16 0 25 Jul 2022
On the Difficulty of Defending Self-Supervised Learning against Model Extraction Adam Dziedzic Nikita Dhawan Muhammad Ahmad Kaleem Jonas Guan Nicolas Papernot MIACV 93 26 0 16 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 269 450 0 16 May 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 63 36 0 13 May 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 113 123 0 31 Mar 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 84 55 0 27 Jan 2022
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders Zeyang Sha Xinlei He Ning Yu Michael Backes Yang Zhang 128 35 0 19 Jan 2022
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Yupei Liu Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong MIACV 80 26 0 15 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 517 15,788 0 20 Dec 2021
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 91 709 0 07 Dec 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning Hongbin Liu Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong 52 99 0 25 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 125 160 0 01 Aug 2021
Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent Oliver Bryniarski Nabeel Hingun Pedro Pachuca Vincent Wang Nicholas Carlini AAML 79 37 0 28 Jun 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 68 166 0 17 Jun 2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Yufei Xu Qiming Zhang Jing Zhang Dacheng Tao ViT 177 339 0 07 Jun 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 75 113 0 24 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 522 1,956 0 14 Dec 2020
Data-Free Model Extraction Jean-Baptiste Truong Pratyush Maini R. Walls Nicolas Papernot MIACV 81 189 0 30 Nov 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 76 235 0 11 Jun 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 73 153 0 06 May 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 121 1,234 0 31 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 398 18,913 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,146 0 13 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 515 20,376 0 23 Oct 2019
Reverse-Engineering Deep ReLU Networks David Rolnick Konrad Paul Kording 74 105 0 02 Oct 2019
High Accuracy and High Fidelity Extraction of Neural Networks Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 91 381 0 03 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 703 24,572 0 26 Jul 2019