v1v2 (latest)

Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,788 papers shown

Title
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy Sen Zhang Haibo Hu Qingqing Ye Jianliang Xu 36 1 0 04 Jan 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models Martin Pawelczyk Lillian Sun Zhenting Qi Aounon Kumar Himabindu Lakkaraju 189 4 0 03 Jan 2025
Disentangling data distribution for Federated Learning Xinyuan Zhao Hanlin Gu Lixin Fan Qiang Yang Yuxing Han OOD FedML 137 0 0 31 Dec 2024
Data value estimation on private gradients Zijian Zhou Xinyi Xu Daniela Rus Bryan Kian Hsiang Low 134 0 0 22 Dec 2024
Balls-and-Bins Sampling for DP-SGD Lynn Chua Badih Ghazi Charlie Harrison Ethan Leeman Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 169 6 0 21 Dec 2024
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 122 0 0 18 Dec 2024
Concurrent vertical and horizontal federated learning with fuzzy cognitive maps Jose L. Salmeron Irina Arévalo FedML 154 3 0 17 Dec 2024
The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Ahmad Hassanpour Amir Zarei Khawla Mallat Anderson Santana de Oliveira Bian Yang 133 0 0 16 Dec 2024
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning Xue Yang Depan Peng Yan Feng Xiaohu Tang Weijun Fang Jun Shao FedML 111 0 0 16 Dec 2024
ExclaveFL: Providing Transparency to Federated Learning using Exclaves Jinnan Guo Kapil Vaswani Andrew Paverd Peter R. Pietzuch FedML 121 0 0 13 Dec 2024
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning Kichang Lee Jaeho Jin JaeYeon Park Jeonggil Ko JeongGil Ko FedML 178 0 0 10 Dec 2024
Impact of Privacy Parameters on Deep Learning Models for Image Classification Basanta Chaulagain 101 0 0 09 Dec 2024
Copyright-Protected Language Generation via Adaptive Model Fusion Javier Abad Konstantin Donhauser Francesco Pinto Fanny Yang 142 2 0 09 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 125 15 0 09 Dec 2024
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation Xianzhi Zhang Yipeng Zhou Di Wu Di Wu Pengshan Liao Mohsen Guizani Michael Sheng 120 0 0 04 Dec 2024
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja Hui-Po Wang Raouf Kerkouche Mario Fritz SyDa 217 2 0 03 Dec 2024
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks Wenhan Dong Chao Lin Xinlei He Xinyi Huang Shengmin Xu PICV 128 0 0 02 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 151 3 0 02 Dec 2024
Effectiveness of L2 Regularization in Privacy-Preserving Machine Learning Nikolaos Chandrinos Iliana Loi Panagiotis Zachos Ioannis Symeonidis Aristotelis Spiliotis Maria Panou Konstantinos Moustakas 120 0 0 02 Dec 2024
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios Sangyeon Yoon Wonje Jeung Albert No 191 0 0 02 Dec 2024
Intermediate Outputs Are More Sensitive Than You Think Tao Huang Qingyu Huang Jiayang Meng AAML 130 1 0 01 Dec 2024
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Mohamad Haj Fares Ahmed Mohamed Saad Emam Saad OOD MedIm 135 1 0 01 Dec 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 118 1 0 29 Nov 2024
Random Sampling for Diffusion-based Adversarial Purification Jiancheng Zhang Peiran Dong Yongyong Chen Yin-Ping Zhao Song Guo DiffM 138 1 0 28 Nov 2024
Inference Privacy: Properties and Mechanisms Fengwei Tian Ravi Tandon 153 0 0 27 Nov 2024
Distributed, communication-efficient, and differentially private estimation of KL divergence Mary Scott Sayan Biswas Graham Cormode Carsten Maple FedML 137 0 0 25 Nov 2024
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models Olivia Ma Jonathan Passerat-Palmbach Dmitrii Usynin 142 0 0 24 Nov 2024
Preserving Expert-Level Privacy in Offline Reinforcement Learning Navodita Sharma Vishnu Vinod Abhradeep Thakurta Alekh Agarwal Borja Balle Christoph Dann A. Raghuveer OffRL 114 0 0 18 Nov 2024
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 121 2 0 17 Nov 2024
On the Privacy Risk of In-context Learning Haonan Duan Adam Dziedzic Mohammad Yaghini Nicolas Papernot Franziska Boenisch SILM PILM 142 43 0 15 Nov 2024
FedCL-Ensemble Learning: A Framework of Federated Continual Learning with Ensemble Transfer Learning Enhanced for Alzheimer's MRI Classifications while Preserving Privacy Rishit Kapoor Jesher Joshua Muralidharan Vijayarangan Natarajan B FedML OOD 162 0 0 15 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 74 4 0 15 Nov 2024
Face De-identification: State-of-the-art Methods and Comparative Studies Jingyi Cao Xiangyi Chen Bo Liu Ming Ding Rong Xie Li Song Zhu Li Wenjun Zhang PICV 101 2 0 15 Nov 2024
SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI S. Giddens Fan Liu 70 0 0 14 Nov 2024
On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models Qian Sun Hanpeng Wu Xi Sheryl Zhang 81 0 0 11 Nov 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service Kai-Fung Chu Haiyue Yuan Jinsheng Yuan Weisi Guo Nazmiye Balta-Ozkan Shujun Li 83 4 0 08 Nov 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling Lynn Chua Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 96 9 0 06 Nov 2024
Optimal Defenses Against Gradient Reconstruction Attacks Yuxiao Chen Gamze Gürsoy Qi Lei FedML AAML 104 0 0 06 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 104 0 0 06 Nov 2024
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 74 0 0 05 Nov 2024
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising Tao Huang Jiayang Meng Hong Chen Guolong Zheng Xu Yang Xun Yi Hua Wang DiffM 78 2 0 05 Nov 2024
R+R:Understanding Hyperparameter Effects in DP-SGD Felix Morsbach J. Reubold T. Strufe 93 0 0 04 Nov 2024
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis Mohammad Zbeeb Mohammad Ghorayeb Mariam Salman 146 0 0 04 Nov 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives Vincent Hanke Tom Blanchard Franziska Boenisch Iyiola Emmanuel Olatunji Michael Backes Adam Dziedzic PILM 128 8 0 02 Nov 2024
Generalizability of Memorization Neural Networks Lijia Yu Xiao-Shan Gao Lijun Zhang Yibo Miao 119 1 0 01 Nov 2024
Diffusion-nested Auto-Regressive Synthesis of Heterogeneous Tabular Data Hengrui Zhang Liancheng Fang Qitian Wu Philip S. Yu DiffM LMTD 80 3 0 28 Oct 2024
An Auditing Test To Detect Behavioral Shift in Language Models Leo Richter Xuanli He Pasquale Minervini Matt J. Kusner 105 0 0 25 Oct 2024
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Hibiki Ito Antti Honkela 159 0 0 25 Oct 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies Liwen Wang Sheng Chen Linnan Jiang Shu Pan Runze Cai Sen Yang Fei Yang 201 8 0 24 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 89 3 0 23 Oct 2024