Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4

7 April 2024

Papers citing "Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4"

21 / 21 papers shown

Title
Scalable Extraction of Training Data from (Production) Language Models Milad Nasr Nicholas Carlini Jonathan Hayase Matthew Jagielski A. Feder Cooper Daphne Ippolito Christopher A. Choquette-Choo Eric Wallace Florian Tramèr Katherine Lee SILM 56 343 0 28 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 62 49 0 31 Oct 2023
MoPe: Model Perturbation-based Privacy Attacks on Language Models Marvin Li Jason Wang Jeffrey G. Wang Seth Neel AAML 88 19 0 22 Oct 2023
Beyond Memorization: Violating Privacy Via Inference with Large Language Models Robin Staab Mark Vero Mislav Balunović Martin Vechev PILM 50 87 0 11 Oct 2023
Privacy Implications of Retrieval-Based Language Models Yangsibo Huang Samyak Gupta Zexuan Zhong Keqin Li Danqi Chen RALM 42 30 0 24 May 2023
Privately Fine-Tuning Large Language Models with Differential Privacy R. Behnia Mohammadreza Ebrahimi Jason L. Pacheco B. Padmanabhan 73 49 0 26 Oct 2022
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 99 228 0 19 Oct 2022
Uncertainty-Autoencoder-Based Privacy and Utility Preserving Data Type Conscious Transformation Bishwas Mandal G. Amariucai Shuangqing Wei 58 4 0 04 May 2022
Retiring Adult: New Datasets for Fair Machine Learning Frances Ding Moritz Hardt John Miller Ludwig Schmidt 193 453 0 10 Aug 2021
Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary Ece Naz Erdemir Pier Luigi Dragotti Deniz Gunduz 57 9 0 16 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 436 1,906 0 14 Dec 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 672 41,736 0 28 May 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 63 75 0 22 Nov 2019
Distributed generation of privacy preserving data with user customization Xiao Chen Thomas Navidi Stefano Ermon Ram Rajagopal 41 11 0 20 Apr 2019
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 55 153 0 22 Jul 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 364 681 0 17 Feb 2018
Learning Privacy Preserving Encodings through Adversarial Training Francesco Pittaluga S. Koppal Ayan Chakrabarti PICV 109 76 0 14 Feb 2018
Deep Private-Feature Extraction S. A. Ossia A. Taheri Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Hamid R. Rabiee 30 95 0 09 Feb 2018
Context-Aware Generative Adversarial Privacy Chong Huang Peter Kairouz Xiao Chen Lalitha Sankar Ram Rajagopal 87 159 0 26 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 640 130,942 0 12 Jun 2017
Censoring Representations with an Adversary Harrison Edwards Amos Storkey AAML FaML 57 505 0 18 Nov 2015