Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,257 papers shown

Title
Defending against Reconstruction Attacks with Rényi Differential Privacy Pierre Stock I. Shilov Ilya Mironov Alexandre Sablayrolles AAML SILM MIACV 28 39 0 15 Feb 2022
Private Quantiles Estimation in the Presence of Atoms Clément Lalanne C. Gastaud Nicolas Grislain Aurélien Garivier Rémi Gribonval 29 8 0 15 Feb 2022
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation Hajime Ono Kazuhiro Minami H. Hino 26 0 0 15 Feb 2022
NeuroMixGDP: A Neural Collapse-Inspired Random Mixup for Private Data Release Donghao Li Yang Cao Yuan Yao 40 2 0 14 Feb 2022
Private Adaptive Optimization with Side Information Tian Li Manzil Zaheer Sashank J. Reddi Virginia Smith 47 36 0 12 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy? Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr PILM 66 234 0 11 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 69 44 0 10 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 34 26 0 10 Feb 2022
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian Raouf Kerkouche I. Kurth Mario Fritz FedML 22 11 0 08 Feb 2022
Preserving Privacy and Security in Federated Learning Truc D. T. Nguyen My T. Thai FedML 29 49 0 07 Feb 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 46 44 0 07 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 23 625 0 07 Feb 2022
Over-the-Air Ensemble Inference with Model Privacy Selim F. Yilmaz Burak Hasircioglu Deniz Gunduz FedML 52 23 0 07 Feb 2022
CECILIA: Comprehensive Secure Machine Learning Framework Ali Burak Ünal Nícolas Pfeifer Mete Akgün 35 2 0 07 Feb 2022
Jury Learning: Integrating Dissenting Voices into Machine Learning Models Mitchell L. Gordon Michelle S. Lam J. Park Kayur Patel Jeffrey T. Hancock Tatsunori Hashimoto Michael S. Bernstein 42 148 0 07 Feb 2022
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning A. Mondal Harpreet Virk Debayan Gupta 45 15 0 06 Feb 2022
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation Wenxiao Wang Alexander Levine Soheil Feizi AAML 38 60 0 05 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 55 18 0 05 Feb 2022
Training Differentially Private Models with Secure Multiparty Computation Sikha Pentyala Davis Railsback Ricardo Maia Rafael Dowsley David Melanson Anderson C. A. Nascimento Martine De Cock 26 14 0 05 Feb 2022
LTU Attacker for Membership Inference Joseph Pedersen Rafael Munoz-Gómez Jiangnan Huang Haozhe Sun Wei-Wei Tu Isabelle M Guyon 46 1 0 04 Feb 2022
Generative Modeling of Complex Data Luca Canale Nicolas Grislain Grégoire Lothe Johanne Leduc SyDa 39 4 0 04 Feb 2022
Datamodels: Predicting Predictions from Training Data Andrew Ilyas Sung Min Park Logan Engstrom Guillaume Leclerc Aleksander Madry TDI 71 133 0 01 Feb 2022
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy Mary Scott Graham Cormode Carsten Maple 66 11 0 31 Jan 2022
Lessons from the AdKDD'21 Privacy-Preserving ML Challenge Eustache Diemert Romain Fabre Alexandre Gilotte Fei Jia Basile Leparmentier Jérémie Mary Zhonghua Qu Ugo Tanielian Hui Yang 59 6 0 31 Jan 2022
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss Jinbao Wang Guoyang Xie Yawen Huang Yefeng Zheng Yaochu Jin Feng Zheng MedIm 45 9 0 29 Jan 2022
Toward Training at ImageNet Scale with Differential Privacy Alexey Kurakin Shuang Song Steve Chien Roxana Geambasu Andreas Terzis Abhradeep Thakurta 46 101 0 28 Jan 2022
Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics T. Ryffel Francis R. Bach D. Pointcheval 34 21 0 28 Jan 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization Canzhe Zhao Yanjie Ze Jing Dong Baoxiang Wang Shuai Li 69 4 0 25 Jan 2022
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 52 45 0 23 Jan 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 50 19 0 22 Jan 2022
FedMed-GAN: Federated Domain Translation on Unsupervised Cross-Modality Brain Image Synthesis Jinbao Wang Guoyang Xie Yawen Huang Yuexiang Li Yefeng Zheng Feng Zheng Yaochu Jin FedML MedIm 52 47 0 22 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 37 10 0 21 Jan 2022
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data Isha Garg M. Nagaraj Kaushik Roy FedML 47 1 0 21 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 42 216 0 20 Jan 2022
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 62 162 0 13 Jan 2022
Feature Space Hijacking Attacks against Differentially Private Split Learning Grzegorz Gawron P. Stubbings AAML 32 20 0 11 Jan 2022
Differentially Private Generative Adversarial Networks with Model Inversion Dongjie Chen S. Cheung Chen-Nee Chuah Sally Ozonoff SyDa 35 13 0 10 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 19 74 0 05 Jan 2022
DP-FP: Differentially Private Forward Propagation for Large Models Jian Du Haitao Mi 37 5 0 29 Dec 2021
Financial Vision Based Differential Privacy Applications Jun-Hao Chen Yi-Jen Wang Yun-Cheng Tsai Samuel Yen-Chi Chen FedML 26 1 0 28 Dec 2021
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings Tiantian Feng H. Hashemi Rajat Hebbar M. Annavaram Shrikanth S. Narayanan 36 26 0 26 Dec 2021
Gradient Leakage Attack Resilient Deep Learning Wenqi Wei Ling Liu SILM PILM AAML 32 48 0 25 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 48 15 0 24 Dec 2021
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning Irem Ergun Hasin Us Sami Başak Güler FedML 46 26 0 23 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 38 9 0 19 Dec 2021
A Review on Visual Privacy Preservation Techniques for Active and Assisted Living Siddharth Ravi Pau Climent-Pérez Francisco Flórez-Revuelta 47 33 0 17 Dec 2021
Federated Learning for Face Recognition with Gradient Correction Yifan Niu Weihong Deng FedML 49 57 0 14 Dec 2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du Yanping Huang Andrew M. Dai Simon Tong Dmitry Lepikhin ... Kun Zhang Quoc V. Le Yonghui Wu Zhiwen Chen Claire Cui ALM MoE 72 784 0 13 Dec 2021
Ex-Model: Continual Learning from a Stream of Trained Models Antonio Carta Andrea Cossu Vincenzo Lomonaco D. Bacciu CLL 24 11 0 13 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer Shiye Lei Zhuozhuo Tu Leszek Rutkowski Feng Zhou Li Shen Fengxiang He Dacheng Tao BDL 31 2 0 12 Dec 2021