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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,788 papers shown

Title
Formal Privacy Guarantees with Invariant Statistics Young Hyun Cho Jordan Awan 62 2 0 22 Oct 2024
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection Mahesh Vaijainthymala Krishnamoorthy 33 0 0 22 Oct 2024
Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting Bao Q. Tran Viet Anh Nguyen Anh Tran Toan M. Tran 113 0 0 22 Oct 2024
SoK: Dataset Copyright Auditing in Machine Learning Systems L. Du Xuanru Zhou M. Chen Chusong Zhang Zhou Su Peng Cheng Jiming Chen Zhikun Zhang MLAU 142 7 0 22 Oct 2024
Extracting Spatiotemporal Data from Gradients with Large Language Models Lele Zheng Yang Cao Renhe Jiang Kenjiro Taura Yulong Shen Sheng Li Masatoshi Yoshikawa 44 1 0 21 Oct 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing Alexander Bienstock Ujjwal Kumar Antigoni Polychroniadou FedML 87 0 0 21 Oct 2024
What's New in My Data? Novelty Exploration via Contrastive Generation Masaru Isonuma Ivan Titov 76 0 0 18 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars Peilin He Chenkai Lin Isabella Montoya 58 0 0 17 Oct 2024
From Gradient Clipping to Normalization for Heavy Tailed SGD Florian Hübler Ilyas Fatkhullin Niao He 127 10 0 17 Oct 2024
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation Meilu Zhu Axiu Mao Jun Liu Yixuan Yuan 105 3 0 16 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models Sajjad Ghiasvand Yifan Yang Zhiyu Xue Mahnoosh Alizadeh Zheng Zhang Ramtin Pedarsani FedML 177 5 0 16 Oct 2024
Differential Privacy on Trust Graphs Badih Ghazi Ravi Kumar Pasin Manurangsi Serena Wang 65 1 0 15 Oct 2024
Secure Stateful Aggregation: A Practical Protocol with Applications in Differentially-Private Federated Learning Marshall Ball James Bell-Clark Adria Gascon Peter Kairouz Sewoong Oh Zhiye Xie FedML 84 1 0 15 Oct 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views Xinyue Chen Yazhou Ren Jie Xu Fangfei Lin X. Pu Yang Yang FedML 113 0 0 12 Oct 2024
Data Deletion for Linear Regression with Noisy SGD Zhangjie Xia Chi-Hua Wang Guang Cheng 118 2 0 12 Oct 2024
Federated Learning in Practice: Reflections and Projections Katharine Daly Hubert Eichner Peter Kairouz H. B. McMahan Daniel Ramage Zheng Xu FedML 96 13 0 11 Oct 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains Krithika Ramesh Nupoor Gandhi Pulkit Madaan Lisa Bauer Charith Peris Anjalie Field SyDa 81 3 0 10 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 104 1 0 10 Oct 2024
Federated Graph Learning for Cross-Domain Recommendation Ziqi Yang Zhaopeng Peng Zihui Wang Jianzhong Qi Chaochao Chen Weike Pan Chenglu Wen Cheng-Yu Wang Xiaoliang Fan FedML 118 4 0 10 Oct 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD Dmitrii Avdiukhin Michael Dinitz Chenglin Fan G. Yaroslavtsev 76 1 0 09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 196 1 0 09 Oct 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server Wenhao Wang Xiaoyu Liang Rui Ye Jingyi Chai Siheng Chen Yanfeng Wang SyDa 100 6 0 08 Oct 2024
Near Exact Privacy Amplification for Matrix Mechanisms Christopher A. Choquette-Choo Arun Ganesh Saminul Haque Thomas Steinke Abhradeep Thakurta 149 10 0 08 Oct 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Thomas Steinke Milad Nasr Arun Ganesh Borja Balle Christopher A. Choquette-Choo Matthew Jagielski Jamie Hayes Abhradeep Thakurta Adam Smith Andreas Terzis 155 10 0 08 Oct 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 92 0 0 07 Oct 2024
Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy Shuangqing Xu Yifeng Zheng Zhongyun Hua FedML 68 3 0 04 Oct 2024
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction Xinwei Zhang Zhiqi Bu Borja Balle Mingyi Hong Meisam Razaviyayn Vahab Mirrokni 151 2 0 04 Oct 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation Xianzhi Li Ran Zmigrod Zhiqiang Ma Xiaomo Liu Xiaodan Zhu 123 3 0 03 Oct 2024
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 134 0 0 03 Oct 2024
Undesirable Memorization in Large Language Models: A Survey Ali Satvaty Suzan Verberne Fatih Turkmen ELM PILM 212 10 0 03 Oct 2024
Adaptively Private Next-Token Prediction of Large Language Models James Flemings Meisam Razaviyayn Murali Annavaram 145 1 0 02 Oct 2024
Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models Hongbin Liu Lun Wang Om Thakkar Abhradeep Thakurta Arun Narayanan 128 1 0 02 Oct 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting Stephen Meisenbacher Florian Matthes 74 3 0 01 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 139 0 0 01 Oct 2024
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning Shota Takashiro Takeshi Kojima Andrew Gambardella Qi Cao Yusuke Iwasawa Y. Matsuo CLL MU KELM 50 3 0 01 Oct 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery Ching-Chun Chang Kai Gao Shuying Xu Anastasia Kordoni Christopher Leckie Isao Echizen 79 0 0 29 Sep 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 81 2 0 28 Sep 2024
Quantum delegated and federated learning via quantum homomorphic encryption Weikang Li Dong-Ling Deng FedML 59 1 0 28 Sep 2024
Localizing Memorization in SSL Vision Encoders Wenhao Wang Adam Dziedzic Michael Backes Franziska Boenisch 98 2 0 27 Sep 2024
CURATE: Scaling-up Differentially Private Causal Graph Discovery Payel Bhattacharjee Ravi Tandon 64 0 0 27 Sep 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data B. Das M. H. Amini Yanzhao Wu 57 0 0 27 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 68 18 0 26 Sep 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy Saber Malekmohammadi G. Farnadi 236 2 0 26 Sep 2024
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation Anantaa Kotal Anupam Joshi 73 1 0 25 Sep 2024
Investigating Privacy Attacks in the Gray-Box Setting to Enhance Collaborative Learning Schemes Federico Mazzone Ahmad Al Badawi Y. Polyakov Maarten Everts Florian Hahn Andreas Peter MIACV AAML 85 0 0 25 Sep 2024
Differential Privacy Regularization: Protecting Training Data Through Loss Function Regularization Francisco Aguilera-Martínez Fernando Berzal 77 0 0 25 Sep 2024
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning H. Hayati C. Murguia N. van de Wouw FedML 64 0 0 25 Sep 2024
Privacy Evaluation Benchmarks for NLP Models Wei Huang Yinggui Wang Cen Chen ELM SILM 89 1 0 24 Sep 2024
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning Minyeong Choe Cheolhee Park Changho Seo Hyunil Kim SILM AAML FedML 100 1 0 23 Sep 2024
Accelerated Stochastic ExtraGradient: Mixing Hessian and Gradient Similarity to Reduce Communication in Distributed and Federated Learning Dmitry Bylinkin Kirill Degtyarev Aleksandr Beznosikov FedML 84 0 0 22 Sep 2024