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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,789 papers shown

Title
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 258 170 0 16 Oct 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization Xiaochen Zhu Xinjian Luo Yuncheng Wu Yangfan Jiang Xiaokui Xiao Beng Chin Ooi FedML 76 10 0 16 Oct 2023
Privacy in Large Language Models: Attacks, Defenses and Future Directions Haoran Li Yulin Chen Jinglong Luo Yan Kang Xiaojin Zhang Qi Hu Chunkit Chan Yangqiu Song PILM 123 48 0 16 Oct 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning Joann Qiongna Chen Xinlei He Zheng Li Yang Zhang Zhou Li 136 2 0 16 Oct 2023
DPZero: Private Fine-Tuning of Language Models without Backpropagation Liang Zhang Bingcong Li K. K. Thekumparampil Sewoong Oh Niao He 98 16 0 14 Oct 2023
User Inference Attacks on Large Language Models Nikhil Kandpal Krishna Pillutla Alina Oprea Peter Kairouz Christopher A. Choquette-Choo Zheng Xu SILM AAML 137 22 0 13 Oct 2023
Differentially Private Non-convex Learning for Multi-layer Neural Networks Hanpu Shen Cheng-Long Wang Zihang Xiang Yiming Ying Di Wang 91 8 0 12 Oct 2023
Secure Decentralized Learning with Blockchain Xiaoxue Zhang Yifan Hua Chen Qian OOD 77 2 0 10 Oct 2023
Federated Quantum Machine Learning with Differential Privacy Rod Rofougaran Shinjae Yoo Huan-Hsin Tseng Samuel Yen-Chi Chen FedML 99 24 0 10 Oct 2023
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning Christopher A. Choquette-Choo Krishnamurthy Dvijotham Krishna Pillutla Arun Ganesh Thomas Steinke Abhradeep Thakurta 90 17 0 10 Oct 2023
Federated Learning with Reduced Information Leakage and Computation Tongxin Yin Xueru Zhang Mohammad Mahdi Khalili Mingyan Liu FedML 61 3 0 10 Oct 2023
Automatic nodule identification and differentiation in ultrasound videos to facilitate per-nodule examination Siyuan Jiang Yan Ding Yuling Wang Lei Xu Wenli Dai ... Jie Yu Jianqiao Zhou Chunquan Zhang Ping Liang Dexing Kong 89 0 0 10 Oct 2023
Better and Simpler Lower Bounds for Differentially Private Statistical Estimation Shyam Narayanan FedML 78 12 0 10 Oct 2023
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks Xin Liu Wei Tao Dazhi Zhan Yu Pan Xin Ma Yu Ding Zhisong Pan FedML 95 0 0 09 Oct 2023
Unlearning with Fisher Masking Yufang Liu Changzhi Sun Yuanbin Wu Aimin Zhou MU 123 7 0 09 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 84 73 0 08 Oct 2023
Big Data Privacy in Emerging Market Fintech and Financial Services: A Research Agenda J. Blumenstock Nitin Kohli 52 5 0 08 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation Sunpreet S. Arora Andrew Beams Panagiotis Chatzigiannis Sebastian Meiser Karan Patel ... Harshal Shah Yizhen Wang Yuhang Wu Hao Yang Mahdi Zamani FedML 67 4 0 06 Oct 2023
DPGOMI: Differentially Private Data Publishing with Gaussian Optimized Model Inversion Dongjie Chen S. Cheung Chen-Nee Chuah 76 0 0 06 Oct 2023
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning Padmaksha Roy Jaganmohan Chandrasekaran Erin Lanus Laura J. Freeman Jeremy Werner 66 4 0 06 Oct 2023
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems Yuyuan Li Chaochao Chen Xiaolin Zheng Yizhao Zhang Zhongxuan Han Dan Meng Jun Wang MU 97 25 0 06 Oct 2023
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning Harsh Chaudhari Giorgio Severi Alina Oprea Jonathan R. Ullman 88 7 0 05 Oct 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 84 0 0 05 Oct 2023
Can Language Models be Instructed to Protect Personal Information? Yang Chen Ethan Mendes Sauvik Das Wei Xu Alan Ritter PILM 84 38 0 03 Oct 2023
Defending Against Authorship Identification Attacks Haining Wang 66 2 0 02 Oct 2023
Coupling public and private gradient provably helps optimization Ruixuan Liu Zhiqi Bu Yu Wang Sheng Zha George Karypis 86 2 0 02 Oct 2023
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models Zhou Yang Zhipeng Zhao Chenyu Wang Jieke Shi Dongsum Kim Donggyun Han David Lo SILM AAML MIACV 123 12 0 02 Oct 2023
Online Sensitivity Optimization in Differentially Private Learning Filippo Galli C. Palamidessi Tommaso Cucinotta 63 1 0 02 Oct 2023
On Memorization and Privacy Risks of Sharpness Aware Minimization Young In Kim Pratiksha Agrawal J. Royset Rajiv Khanna FedML 102 3 0 30 Sep 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 76 18 0 30 Sep 2023
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study Myeongseob Ko Ming Jin Chenguang Wang Ruoxi Jia 114 29 0 29 Sep 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 95 2 0 29 Sep 2023
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Christopher G. Brinton Tatiana Likhomanenko 130 8 0 29 Sep 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 93 12 0 28 Sep 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 113 28 0 27 Sep 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 90 5 0 27 Sep 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang Junyuan Hong Yuyang Deng M. Mahdavi Jiayu Zhou FedML 129 6 0 22 Sep 2023
Knowledge Sanitization of Large Language Models Yoichi Ishibashi Hidetoshi Shimodaira KELM 129 26 0 21 Sep 2023
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang Richard Shin Huseyin A. Inan Andre Manoel Fatemehsadat Mireshghallah Zinan Lin Sivakanth Gopi Janardhan Kulkarni Robert Sim 132 66 0 21 Sep 2023
Efficient Core-selecting Incentive Mechanism for Data Sharing in Federated Learning Mengda Ji Genjiu Xu Jianjun Ge Mingqiang Li FedML 70 0 0 21 Sep 2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens Fan Liu 64 1 0 19 Sep 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings Danushka Bollegala Shuichi Otake T. Machide Ken-ichi Kawarabayashi 140 4 0 19 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 93 22 0 19 Sep 2023
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning T. Shaik Xiaohui Tao Lin Li Haoran Xie Taotao Cai Xiaofeng Zhu Qingyuan Li MU 114 18 0 19 Sep 2023
Security and Privacy on Generative Data in AIGC: A Survey Tao Wang Yushu Zhang Shuren Qi Ruoyu Zhao Zhihua Xia Jian Weng 109 50 0 18 Sep 2023
Private Matrix Factorization with Public Item Features Mihaela Curmei Walid Krichene Li Zhang Mukund Sundararajan 95 3 0 17 Sep 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach Wentao Hu Hui Fang 88 5 0 17 Sep 2023
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach Karuna Bhaila Wen Huang Yongkai Wu Xintao Wu 59 9 0 15 Sep 2023
HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks Minh-Hao Van Alycia N. Carey Xintao Wu TDI AAML 80 3 0 15 Sep 2023
Verifiable Privacy-Preserving Computing Tariq Bontekoe Dimka Karastoyanova Fatih Turkmen 75 4 0 15 Sep 2023