Abdulrahman Diaa

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All published works

Action	Title	Year	Authors
+ PDF Chat	Optimizing Adaptive Attacks against Content Watermarks for Language Models	2024	Abdulrahman Diaa Toluwani Aremu Nils Lukas
+ PDF Chat	FastLloyd: Federated, Accurate, Secure, and Tunable $k$-Means Clustering with Differential Privacy	2024	Abdulrahman Diaa Thomas Humphries Florian Kerschbaum
+ PDF Chat	Privacy-Preserving Federated Recurrent Neural Networks	2023	Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean‐Pierre Hubaux
+	Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions	2023	Abdulrahman Diaa Lucas Fenaux Thomas Humphries M. J. Dietz Faezeh Ebrahimianghazani Bailey Kacsmar Xinda Li Nils Lukas Rasoul Akhavan Mahdavi Simon Oya
+	Leveraging Optimization for Adaptive Attacks on Image Watermarks	2023	Nils Lukas Abdulrahman Diaa Lucas Fenaux Florian Kerschbaum
+	Privacy-Preserving Federated Recurrent Neural Networks	2022	Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean‐Pierre Hubaux

Common Coauthors

Coauthor	Papers Together
Florian Kerschbaum	3
Nils Lukas	3
Lucas Fenaux	2
Sinem Sav	2
Apostolos Pyrgelis	2
Thomas Humphries	2
Jean-Philippe Bossuat	2
Jean‐Pierre Hubaux	2
M. J. Dietz	1
Toluwani Aremu	1
Bailey Kacsmar	1
Simon Oya	1
Rasoul Akhavan Mahdavi	1
Ehsan Amjadian	1
Faezeh Ebrahimianghazani	1
Xinda Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Simple Way to Initialize Recurrent Networks of Rectified Linear Units	2015	Quoc V. Le Navdeep Jaitly Geoffrey E. Hinton	1
+	On the difficulty of training Recurrent Neural Networks	2012	Razvan Pascanu Tomáš Mikolov Yoshua Bengio	1
+	On Ideal Lattices and Learning with Errors over Rings	2010	Vadim Lyubashevsky Chris Peikert Oded Regev	1
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	1
+	Recurrent Orthogonal Networks and Long-Memory Tasks	2016	Mikael Henaff Arthur Szlam Yann LeCun	1
+ PDF Chat	Privacy-friendly mobility analytics using aggregate location data	2016	Apostolos Pyrgelis Emiliano De Cristofaro Gordon J. Ross	1
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	1
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	1
+ PDF Chat	Simplified minimal gated unit variations for recurrent neural networks	2017	Joel C. Heck Fathi M. Salem	1
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	1
+	Scalable Private Learning with PATE	2018	Nicolas Papernot Shuang Song Ilya Mironov Ananth Raghunathan Kunal Talwar Úlfar Erlingsson	1
+	Byzantine Stochastic Gradient Descent	2018	Dan Alistarh Zeyuan Allen-Zhu Jerry Li	1
+	Federated Learning for Mobile Keyboard Prediction	2018	Andrew Hard Chloé Kiddon Daniel Ramage Françoise Beaufays Hubert Eichner K. Praveen Kumar Rao Rajiv Mathews Sean Augenstein	1
+ PDF Chat	Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies	2019	Sarath Chandar Chinnadhurai Sankar Eugene Vorontsov Samira Ebrahimi Kahou Yoshua Bengio	1
+	XONN: XNOR-based Oblivious Deep Neural Network Inference	2019	M. Sadegh Riazi Mohammad Samragh Hao Chen Kim Laine Kristin Lauter Farinaz Koushanfar	1
+	Federated Learning Of Out-Of-Vocabulary Words	2019	Françoise Beaufays Rajiv Mathews	1
+ PDF Chat	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning	2019	Milad Nasr Reza Shokri Amir Houmansadr	1
+	h-detach: Modifying the LSTM Gradient Towards Better Optimization	2018	Devansh Arpit Bhargav Kanuparthi Giancarlo Kerg Nan Rosemary Ke Ioannis Mitliagkas Yoshua Bengio	1
+	Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning	2017	Briland Hitaj Giuseppe Ateniese Fernando Pérez‐Cruz	1
+	QUOTIENT: Two-Party Secure Neural Network Training and Prediction	2019	Nitin Agrawal Ali Shahin Shamsabadi Matt J. Kusner Adrià Gascón	1
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	1
+ PDF Chat	Gate-variants of Gated Recurrent Unit (GRU) neural networks	2017	Rahul Dey Fathi M. Salem	1
+	Efficient Private Statistics with Succinct Sketches	2016	Luca Melis George Danezis Emiliano De Cristofaro	1
+ PDF Chat	Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning	2019	Zhibo Wang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi	1
+	On the Properties of Neural Machine Translation: Encoder–Decoder Approaches	2014	Kyunghyun Cho Bart van Merriënboer Dzmitry Bahdanau Yoshua Bengio	1
+ PDF Chat	Helen: Maliciously Secure Coopetitive Learning for Linear Models	2019	Wenting Zheng Raluca Ada Popa Joseph E. Gonzalez Ion Stoica	1
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	1
+	nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data	2019	Fabian Boemer Anamaria Costache Rosario Cammarota Casimir Wierzynski	1
+ PDF Chat	A Hybrid Approach to Privacy-Preserving Federated Learning	2019	Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou	1
+ PDF Chat	Privacy-Preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso	1
+	iDLG: Improved Deep Leakage from Gradients	2020	Bo Zhao Konda Reddy Mopuri Hakan Bilen	1
+	Learning to Detect Malicious Clients for Robust Federated Learning	2020	Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen	1
+	BASGD: Buffered Asynchronous SGD for Byzantine Learning	2020	Yi-Rui Yang Wu-Jun Li	1
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh	1
+ PDF Chat	The Value of Collaboration in Convex Machine Learning with Differential Privacy	2020	Nan Wu Farhad Farokhi David B. Smith Mohamed Ali Kâafar	1
+	Federated Learning With Differential Privacy: Algorithms and Performance Analysis	2020	Kang Wei Jun Li Ming Ding Chuan Ma Howard H. Yang Farhad Farokhi Shi Jin Tony Q. S. Quek H. Vincent Poor	1
+ PDF Chat	PrivColl: Practical Privacy-Preserving Collaborative Machine Learning	2020	Yanjun Zhang Guangdong Bai Xue Li Caitlin Curtis Chen Chen Ryan K. L. Ko	1
+ PDF Chat	Data Poisoning Attacks Against Federated Learning Systems	2020	Vale Tolpegin Stacey Truex Mehmet Emre Gürsoy Ling Liu	1
+ PDF Chat	CrypTFlow2: Practical 2-Party Secure Inference	2020	Deevashwer Rathee Mayank Rathee Nishant Kumar Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma	1
+ PDF Chat	CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU	2021	Bo Feng Qian Lou Lei Jiang Geoffrey Fox	1
+	Fast secure matrix multiplications over ring-based homomorphic encryption	2020	Pradeep Kumar Mishra Deevashwer Rathee Dung Hoang Duong Masaya Yasuda	1
+ PDF Chat	HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning	2019	Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig	1
+ PDF Chat	Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization	2016	Viacheslav Khomenko Oleg Shyshkov Olga Radyvonenko Kostiantyn Bokhan	1
+	BLAZE: Blazing Fast Privacy-Preserving Machine Learning	2020	Arpita Patra Ajith Suresh	1
+ PDF Chat	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning	2020	Sameer Wagh Shruti Tople Fabrice Benhamouda Eyal Kushilevitz Prateek Mittal Tal Rabin	1
+	CaPC Learning: Confidential and Private Collaborative Learning	2021	Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang Somesh Jha Nicolas Papernot Xiao Wang	1
+ PDF Chat	SiRnn: A Math Library for Secure RNN Inference	2021	Deevashwer Rathee Mayank Rathee Rahul Kranti Kiran Goli Divya Gupta Rahul Sharma Nishanth Chandran Aseem Rastogi	1
+	POSEIDON: Privacy-Preserving Federated Neural Network Learning	2021	Sinem Sav Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza David Froelicher Jean-Philippe Bossuat João Sá Sousa Jean‐Pierre Hubaux	1
+ PDF Chat	Scalable Privacy-Preserving Distributed Learning	2021	David Froelicher Juan Ramón Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean‐Pierre Hubaux	1
+ PDF Chat	CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU	2021	Sijun Tan Brian Knott Yuan Tian David J. Wu	1