On the Evaluation of User Privacy in Deep Neural Networks using Timing
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On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel

1 August 2022

Sarani Bhattacharya

Debdeep Mukhopadhyay

Papers citing "On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel"

14 / 14 papers shown

Title
DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories Adnan Siraj Rakin Md Hafizul Islam Chowdhuryy Fan Yao Deliang Fan AAML MIACV 58 113 0 08 Nov 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim Laurens van der Maaten 69 354 0 02 Sep 2021
Pooling Methods in Deep Neural Networks, a Review Hossein Gholamalinezhad H. Khosravi 189 222 0 16 Sep 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 87 505 0 28 Jul 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 179 179 0 28 Jul 2020
SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning Nishat Koti Mahak Pancholi A. Patra Ajith Suresh 59 144 0 20 May 2020
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures Mengjia Yan Christopher W. Fletcher Josep Torrellas MIACV FedML 61 247 0 14 Aug 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 78 2,696 0 14 Nov 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 230 4,103 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 191 6,109 0 01 Jul 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 421 18,334 0 27 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,465 0 24 Feb 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 207 732 0 12 Dec 2015
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 517 27,263 0 01 Sep 2014