Rasoul Akhavan Mahdavi

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	SilentWood: Private Inference Over Gradient-Boosting Decision Forests	2024	Ronny Ko Rasoul Akhavan Mahdavi Byoung-Woo Yoon Makoto Onizuka Florian Kerschbaum
+ PDF Chat	Peer2PIR: Private Queries for IPFS	2024	Miti Mazmudar Shannon Veitch Rasoul Akhavan Mahdavi
+ PDF Chat	Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption	2023	Rasoul Akhavan Mahdavi Haoyan Ni Dimitry Linkov Florian Kerschbaum
+	Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection	2023	Florian Kerschbaum Erik-Oliver Blaß Rasoul Akhavan Mahdavi
+	HE is all you need: Compressing FHE Ciphertexts using Additive HE	2023	Rasoul Akhavan Mahdavi Abdulrahman Diaa Florian Kerschbaum
+	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
+	Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption	2023	Rasoul Akhavan Mahdavi Haoyan Ni Dimitry Linkov Florian Kerschbaum
+	PEPSI: Practically Efficient Private Set Intersection in the Unbalanced Setting	2023	Rasoul Akhavan Mahdavi Nils Lukas Faezeh Ebrahimianghazani Thomas Humphries Bailey Kacsmar John A. Premkumar Xinda Li Simon Oya Ehsan Amjadian Florian Kerschbaum
+	Constant-weight PIR: Single-round Keyword PIR via Constant-weight Equality Operators	2022	Rasoul Akhavan Mahdavi Florian Kerschbaum
+	Faster Secure Comparisons with Offline Phase for Efficient Private Set Intersection	2022	Florian Kerschbaum Erik-Oliver Blaß Rasoul Akhavan Mahdavi
+	Selective MPC: Distributed Computation of Differentially Private Key Value Statistics.	2021	Thomas Humphries Rasoul Akhavan Mahdavi Shannon Veitch Florian Kerschbaum
+	Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics	2021	Thomas J. Humphries Rasoul Akhavan Mahdavi Shannon Veitch Florian Kerschbaum

Common Coauthors

Coauthor	Papers Together
Florian Kerschbaum	11
Shannon Veitch	3
Thomas Humphries	3
Nils Lukas	2
Faezeh Ebrahimianghazani	2
Dimitry Linkov	2
Bailey Kacsmar	2
Xinda Li	2
Ehsan Amjadian	2
Haoyan Ni	2
Erik-Oliver Blaß	2
Simon Oya	2
M. J. Dietz	1
Abdulrahman Diaa	1
Thomas J. Humphries	1
Ronny Ko	1
Makoto Onizuka	1
Byoung-Woo Yoon	1
Abdulrahman Diaa	1
John A. Premkumar	1
Lucas Fenaux	1
Miti Mazmudar	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Founding Cryptography on Oblivious Transfer – Efficiently	2008	Yuval Ishai Manoj Prabhakaran Amit Sahai	1
+ PDF Chat	Backyard Cuckoo Hashing: Constant Worst-Case Operations with a Succinct Representation	2010	Yuriy Arbitman Moni Naor Gil Segev	1
+ PDF Chat	Universally Utility-maximizing Privacy Mechanisms	2012	Arpita Ghosh Tim Roughgarden Mukund Sundararajan	1
+	Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy	2016	Thông Nguyen Xiaokui Xiao Yin Yang Siu Cheung Hui Hyejin Shin Junbum Shin	1
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	1
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+	Conditional Analysis for Key-Value Data with Local Differential Privacy	2019	Lin Sun Jun Zhao Xiaojun Ye Shuo Feng Teng Wang Tao Bai	1
+ PDF Chat	Achieving Secure and Differentially Private Computations in Multiparty Settings	2017	Abbas Acar Z. Berkay Celik Hidayet Aksu A. Selcuk Uluagac Patrick McDaniel	1
+ PDF Chat	Model Extraction Warning in MLaaS Paradigm	2018	Manish Kesarwani Bhaskar Mukhoty Vijay Arya Sameep Mehta	1
+ PDF Chat	Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation	2016	Genqiang Wu Yeping He Jingzheng Wu Xianyao Xia	1
+	Composing Differential Privacy and Secure Computation: A case study on scaling private record linkage	2017	Xi He Ashwin Machanavajjhala Cheryl Flynn Divesh Srivastava	1
+ PDF Chat	The Privacy Blanket of the Shuffle Model	2019	Borja Balle James Bell Adrià Gascón Kobbi Nissim	1
+	PRADA: Protecting Against DNN Model Stealing Attacks	2019	Mika Juuti Sebastian Szyller Samuel Marchal N. Asokan	1
+	CoinPress: Practical Private Mean and Covariance Estimation	2020	Sourav Biswas Yihe Dong Gautam Kamath Jonathan Ullman	1
+	PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility	2019	Xiaolan Gu Ming Li Yueqiang Cheng Li Xiong Yang Cao	1
+ PDF Chat	Distributed Differential Privacy via Shuffling	2019	Albert Cheu Adam Smith Jonathan Ullman David Zeber Maxim Zhilyaev	1
+ PDF Chat	Privacy preserving vertical federated learning for tree-based models	2020	Yuncheng Wu Shaofeng Cai Xiaokui Xiao Gang Chen Beng Chin Ooi	1
+	RAPPOR	2014	Úlfar Erlingsson Vasyl Pihur Aleksandra Korolova	1
+	Prochlo	2017	Andrea Bittau Úlfar Erlingsson Petros Maniatis Ilya Mironov Ananth Raghunathan David Lie Mitch Rudominer Ushasree Kode Julien Tinnes Bernhard Seefeld	1
+ PDF Chat	Efficient oblivious database joins	2020	Simeon Krastnikov Florian Kerschbaum Douglas Stebila	1
+ PDF Chat	Scalable Private Decision Tree Evaluation with Sublinear Communication	2022	Jianli Bai Xiangfu Song Shujie Cui Ee‐Chien Chang Giovanni Russello	1