Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,123 papers shown

Title
Budget Recycling Differential Privacy Bo Jiang Jian Du Sagar Shamar Qiang Yan 26 1 0 18 Mar 2024
Programming Frameworks for Differential Privacy Marco Gaboardi Michael Hay Salil P. Vadhan 38 1 0 17 Mar 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang Jieming Bian Letian Zhang Chong Chen Jie Xu 42 7 0 14 Mar 2024
Visual Privacy Auditing with Diffusion Models Kristian Schwethelm Johannes Kaiser Moritz Knolle Daniel Rueckert Daniel Rueckert Alexander Ziller DiffM AAML 40 0 0 12 Mar 2024
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? Egor Zverev Sahar Abdelnabi Soroush Tabesh Mario Fritz Christoph H. Lampert 71 20 0 11 Mar 2024
Federated Joint Learning of Robot Networks in Stroke Rehabilitation Xinyu Jiang Yibei Guo Mengsha Hu Ruoming Jin Hai Phan Jay Alberts Rui Liu 16 0 0 08 Mar 2024
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping Umut Simsekli Mert Gurbuzbalaban S. Yıldırım Lingjiong Zhu 38 2 0 04 Mar 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting Asif Iqbal P. Gope Biplab Sikdar 39 2 0 03 Mar 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 69 3 0 25 Feb 2024
Closed-Form Bounds for DP-SGD against Record-level Inference Giovanni Cherubin Boris Köpf Andrew Paverd Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin 51 2 0 22 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 61 4 0 13 Feb 2024
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off Yuecheng Li Lele Fu Tong Wang Jian Lou Bin Chen Lei Yang Zibin Zheng Zibin Zheng Chuan Chen FedML 70 4 0 10 Feb 2024
Towards Biologically Plausible and Private Gene Expression Data Generation Dingfan Chen Marie Oestreich Tejumade Afonja Raouf Kerkouche Matthias Becker Mario Fritz SyDa 32 3 0 07 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Cross-silo Federated Learning with Record-level Personalized Differential Privacy Junxu Liu Jian Lou Li Xiong Jinfei Liu Xiaofeng Meng 48 6 0 29 Jan 2024
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features Lynn Chua Qiliang Cui Badih Ghazi Charlie Harrison Pritish Kamath ... Pasin Manurangsi Krishnagiri Narra Amer Sinha A. Varadarajan Chiyuan Zhang AAML 54 5 0 26 Jan 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 50 18 0 09 Jan 2024
Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST) Xingyuan Zhao Fang Liu 30 0 0 20 Dec 2023
Federated learning with differential privacy and an untrusted aggregator Kunlong Liu Trinabh Gupta 55 0 0 17 Dec 2023
On Mask-based Image Set Desensitization with Recognition Support Qilong Li Ji Liu Yifan Sun Chongsheng Zhang Dejing Dou CVBM 33 3 0 14 Dec 2023
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance Ilana Sebag Muni Sreenivas Pydi Jean-Yves Franceschi Alain Rakotomamonjy Mike Gartrell Jamal Atif Alexandre Allauzen 26 2 0 13 Dec 2023
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 27 6 0 12 Dec 2023
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey Haotian Zhang S. D. Semujju Zhicheng Wang Xianwei Lv Kang Xu ... Jing Wu Zhuo Long Wensheng Liang Xiaoguang Ma Ruiyan Zhuang UQCV AI4TS AI4CE 34 4 0 11 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
Privacy-preserving quantum federated learning via gradient hiding Changhao Li Niraj Kumar Zhixin Song Shouvanik Chakrabarti Marco Pistoia FedML 35 20 0 07 Dec 2023
PCDP-SGD: Improving the Convergence of Differentially Private SGD via Projection in Advance Haichao Sha Ruixuan Liu Yi-xiao Liu Hong Chen 57 1 0 06 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 38 2 0 05 Dec 2023
Scaling Laws for Adversarial Attacks on Language Model Activations Stanislav Fort 26 15 0 05 Dec 2023
Hot PATE: Private Aggregation of Distributions for Diverse Task Edith Cohen Benjamin Cohen-Wang Xin Lyu Jelani Nelson Tamas Sarlos Uri Stemmer 62 3 0 04 Dec 2023
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings Jean Ogier du Terrail Quentin Klopfenstein Honghao Li Imke Mayer Nicolas Loiseau Mohammad Hallal Félix Balazard M. Andreux 20 2 0 28 Nov 2023
Using Decentralized Aggregation for Federated Learning with Differential Privacy H. Saleh Y. El-Sonbaty Ana Fernández Vilas M. Fernández-Veiga Nashwa El-Bendary FedML 29 3 0 27 Nov 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo-wen Li Zhangyang Wang 56 29 0 27 Nov 2023
DP-NMT: Scalable Differentially-Private Machine Translation Timour Igamberdiev Doan Nam Long Vu Felix Künnecke Zhuo Yu Jannik Holmer Ivan Habernal 40 7 0 24 Nov 2023
Preserving Node-level Privacy in Graph Neural Networks Zihang Xiang Tianhao Wang Di Wang 32 6 0 12 Nov 2023
Instance-Specific Asymmetric Sensitivity in Differential Privacy David Durfee 32 1 0 02 Nov 2023
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks Jiayuan Ye Zhenyu Zhu Fanghui Liu Reza Shokri V. Cevher 42 12 0 31 Oct 2023
Unlearn What You Want to Forget: Efficient Unlearning for LLMs Jiaao Chen Diyi Yang MU 30 140 0 31 Oct 2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation Dzung Pham Shreyas Kulkarni Amir Houmansadr 33 0 0 29 Oct 2023
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory Niloofar Mireshghallah Hyunwoo J. Kim Xuhui Zhou Yulia Tsvetkov Maarten Sap Reza Shokri Yejin Choi PILM 38 78 0 27 Oct 2023
DP-SGD with weight clipping Antoine Barczewski Jan Ramon 13 1 0 27 Oct 2023
Privately Aligning Language Models with Reinforcement Learning Fan Wu Huseyin A. Inan A. Backurs Varun Chandrasekaran Janardhan Kulkarni Robert Sim 38 6 0 25 Oct 2023
Private Learning with Public Features Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 32 6 0 24 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 49 10 0 24 Oct 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 21 7 0 19 Oct 2023
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining Kecen Li Chen Gong Zhixiang Li Yuzhong Zhao Xinwen Hou Tianhao Wang 38 10 0 19 Oct 2023
Unintended Memorization in Large ASR Models, and How to Mitigate It Lun Wang Om Thakkar Rajiv Mathews 41 5 0 18 Oct 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT Stefan Arnold Nils Kemmerzell Annika Schreiner 40 0 0 17 Oct 2023
Differentially Private Non-convex Learning for Multi-layer Neural Networks Hanpu Shen Cheng-Long Wang Zihang Xiang Yiming Ying Di Wang 54 7 0 12 Oct 2023
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 23 5 0 09 Oct 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation Lucia Innocenti Michela Antonelli Francesco Cremonesi Kenaan Sarhan Alejandro Granados Vicky Goh Sebastien Ourselin Marco Lorenzi FedML 26 2 0 29 Sep 2023