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Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 2,791 papers shown

Title
Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference Catherine Huang Martin Pawelczyk Himabindu Lakkaraju AAML 69 1 0 24 Jul 2024
Synthetic Trajectory Generation Through Convolutional Neural Networks Jesse Merhi Erik Buchholz S. Kanhere 88 0 0 24 Jul 2024
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models Deniz Daum Richard Osuala Anneliese Riess Georgios Kaissis Julia A. Schnabel Maxime Di Folco MedIm 82 2 0 23 Jul 2024
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks Eugenio Lomurno Matteo Matteucci MedIm 87 3 0 22 Jul 2024
Weights Shuffling for Improving DPSGD in Transformer-based Models Jungang Yang Zhe Ji Liyao Xiang 124 0 0 22 Jul 2024
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models Xiao Liu Xiaoliu Guan Yu Wu Jiaxu Miao 149 9 0 22 Jul 2024
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning Luca Corbucci Mikko A. Heikkilä David Solans Noguero Anna Monreale Nicolas Kourtellis FedML 136 4 0 21 Jul 2024
SeqMIA: Sequential-Metric Based Membership Inference Attack Hao Li Zheng Li Siyuan Wu Chengrui Hu Yutong Ye Min Zhang Dengguo Feng Yang Zhang 85 11 0 21 Jul 2024
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives D. Hagos Rick Battle Danda B. Rawat LM&MA OffRL 130 35 0 20 Jul 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 122 3 0 20 Jul 2024
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) Apurv Verma Satyapriya Krishna Sebastian Gehrmann Madhavan Seshadri Anu Pradhan Tom Ault Leslie Barrett David Rabinowitz John Doucette Nhathai Phan 131 19 0 20 Jul 2024
DP-KAN: Differentially Private Kolmogorov-Arnold Networks Nikita P. Kalinin Simone Bombari Hossein Zakerinia Christoph H. Lampert 61 1 0 17 Jul 2024
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems Roie Reshef Kfir Y. Levy FedML 91 1 0 17 Jul 2024
Private prediction for large-scale synthetic text generation Kareem Amin Alex Bie Weiwei Kong Alexey Kurakin Natalia Ponomareva Umar Syed Andreas Terzis Sergei Vassilvitskii SyDa SILM 146 7 0 16 Jul 2024
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data Sheng Chai Gus Chadney Charlot Avery Phil Grunewald Pascal Van Hentenryck P. Donti 104 6 0 16 Jul 2024
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 151 7 0 15 Jul 2024
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review Alexandra Kapp J. Hansmeyer Helena Mihaljević 86 19 0 12 Jul 2024
Privacy-Preserving Collaborative Genomic Research: A Real-Life Deployment and Vision Zahra Rahmani Nahal Shahini Nadav Gat Zebin Yun Yuzhou Jiang Ofir Farchy Yaniv Harel Vipin Chaudhary Mahmood Sharif Erman Ayday SyDa 89 1 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 76 0 0 12 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 96 3 0 11 Jul 2024
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks Lele Zheng Yang Cao Renhe Jiang Kenjiro Taura Yulong Shen Sheng Li Masatoshi Yoshikawa AAML 88 3 0 11 Jul 2024
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models Aydin Abadi Vishnu Asutosh Dasu Sumanta Sarkar 86 3 0 11 Jul 2024
Hidden State Differential Private Mini-Batch Block Coordinate Descent for Multi-convexity Optimization Ding Chen Chen Liu FedML 97 0 0 11 Jul 2024
Fine-Tuning Large Language Models with User-Level Differential Privacy Zachary Charles Arun Ganesh Ryan McKenna H. B. McMahan Nicole Mitchell Krishna Pillutla Keith Rush 92 16 0 10 Jul 2024
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey) K. Kenthapadi M. Sameki Ankur Taly HILM ELM AILaw 85 16 0 10 Jul 2024
Certified Continual Learning for Neural Network Regression Long H. Pham Jun Sun 126 2 0 09 Jul 2024
It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss Meenatchi Sundaram Muthu Selva Annamalai 94 10 0 09 Jul 2024
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment Qizhang Feng Siva Rajesh Kasa Santhosh Kumar Kasa Hyokun Yun C. Teo S. Bodapati 156 10 0 08 Jul 2024
Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses Weiwei Kong Mónica Ribero 119 4 0 07 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 139 0 0 06 Jul 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 105 0 0 05 Jul 2024
Reconsidering utility: unveiling the limitations of synthetic mobility data generation algorithms in real-life scenarios Alexandra Kapp Helena Mihaljević 96 2 0 03 Jul 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen Thinh Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 91 0 0 03 Jul 2024
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature Deepak Ravikumar Efstathia Soufleri Kaushik Roy 79 0 0 03 Jul 2024
Attack-Aware Noise Calibration for Differential Privacy B. Kulynych Juan Felipe Gomez G. Kaissis Flavio du Pin Calmon Carmela Troncoso 109 9 0 02 Jul 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 137 2 0 02 Jul 2024
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest Christoforus Yoga Haryanto Minh Hieu Vu Trung Duc Nguyen Emily Lomempow Yulia Nurliana Sona Taheri 87 2 0 01 Jul 2024
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training Stefan Arnold Rene Gröbner Annika Schreiner 87 0 0 30 Jun 2024
DP-MLM: Differentially Private Text Rewriting Using Masked Language Models Stephen Meisenbacher Maulik Chevli Juraj Vladika Florian Matthes 89 8 0 30 Jun 2024
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging Kiarash Sedghighadikolaei Attila A Yavuz 74 3 0 29 Jun 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Xingliang Yuan Mark Dras SILM AAML 96 0 0 28 Jun 2024
Too Good to be True? Turn Any Model Differentially Private With DP-Weights David Zagardo 126 0 0 27 Jun 2024
Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model Tariq Bontekoe Hassan Jameel Asghar Fatih Turkmen 74 3 0 27 Jun 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 113 4 0 26 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 172 18 0 25 Jun 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 174 1 0 25 Jun 2024
On Computing Pairwise Statistics with Local Differential Privacy Badih Ghazi Pritish Kamath Ravi Kumar Pasin Manurangsi Adam Sealfon FedML 106 2 0 24 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 163 6 0 22 Jun 2024
TabularMark: Watermarking Tabular Datasets for Machine Learning Yihao Zheng Haocheng Xia Junyuan Pang Jinfei Liu Kui Ren Lingyang Chu Yang Cao Li Xiong 86 5 0 21 Jun 2024
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning Lynn Chua Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Daogao Liu Pasin Manurangsi Amer Sinha Chiyuan Zhang 122 17 0 20 Jun 2024