Benjamin Hong Meng Tan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering	2024	Saman Pordanesh Benjamin Hong Meng Tan
+ PDF Chat	Achieving GWAS with homomorphic encryption	2020	Jun Jie Sim Fook Mun Chan Shibin Chen Benjamin Hong Meng Tan Khin Mi Mi Aung
+	Achieving GWAS with Homomorphic Encryption	2019	Jun Jie Sim Fook Mun Chan Shibin Chen Benjamin Hong Meng Tan Khin Mi Mi Aung
+	Achieving GWAS with Homomorphic Encryption	2019	Sim Jun Jie Chan Fook Mun Shibin Chen Benjamin Hong Meng Tan Khin Mi Mi Aung
+	Zero-Knowledge Password Policy Check from Lattices	2018	Khoa Nguyen Benjamin Hong Meng Tan Huaxiong Wang
+	Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs	2018	Ahmad Al Badawi Chao Jin Jie Lin Chan Fook Mun Jun Jie Sim Benjamin Hong Meng Tan Nan Xiao Khin Mi Mi Aung Vijay Chandrasekhar
+ PDF Chat	Zero-Knowledge Password Policy Check from Lattices	2017	Khoa Nguyen Benjamin Hong Meng Tan Huaxiong Wang

Common Coauthors

Coauthor	Papers Together
Khin Mi Mi Aung	4
Jun Jie Sim	3
Fook Mun Chan	2
Shibin Chen	2
Khoa Nguyen	2
Chan Fook Mun	2
Huaxiong Wang	2
Shibin Chen	1
Nan Xiao	1
Vijay Chandrasekhar	1
Chao Jin	1
Saman Pordanesh	1
Ahmad Al Badawi	1
Jie Lin	1
Sim Jun Jie	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Monotonicity of quadratic-approximation algorithms	1988	Dankmar Böhning Bruce G. Lindsay	2
+	Encrypted statistical machine learning: new privacy preserving methods	2015	Louis J. M. Aslett Pedro M. Esperança Chris Holmes	1
+ PDF Chat	On lattices, learning with errors, random linear codes, and cryptography	2005	Oded Regev	1
+	On Ideal Lattices and Learning with Errors over Rings	2010	Vadim Lyubashevsky Chris Peikert Oded Regev	1
+	Fractional Max-Pooling	2014	Benjamin Graham	1
+ PDF Chat	Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer	1999	Peter W. Shor	1
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	1
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	1
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	1
+	PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers	2016	Wei Xie Yang Wang Steven M. Boker Donald E. Brown	1
+	CryptoDL: Deep Neural Networks over Encrypted Data	2017	Ehsan Hesamifard Hassan Takabi Mehdi Ghasemi	1
+	Spectre Attacks: Exploiting Speculative Execution	2018	Paul Kocher Daniel Genkin Daniel Gruss Werner Haas Mike Hamburg Moritz Lipp Stefan Mangard Thomas Prescher Michael Schwarz Yuval Yarom	1
+	SgxPectre: Stealing Intel Secrets from SGX Enclaves Via Speculative Execution	2019	Guoxing Chen Sanchuan Chen Yuan Xiao Yinqian Zhang Zhiqiang Lin Ten H. Lai	1
+	Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference	2018	Edward Chou Josh Beal Daniel Lévy Serena Yeung Albert Haque Li Fei-Fei	1
+	ON DATA BANKS AND PRIVACY HOMOMORPHISMS	1978	Ronald L. Rivest Michael L. Dertouzos	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1