His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. A pragmatic solution comes from Trusted Execution Environments, which use hardware and software protections to isolate sensitive computations from the untrusted software stack. Professor Boneh's research focuses on applications of cryptography to computer security. View Dan Boneh’s profile on LinkedIn, the world's largest professional community. Florian Tramèr and Dan Boneh. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. International Conference on Learning Representations (ICLR), 2019. Dan Boneh, Joseph Bonneau, Benedikt Bunz, and Ben Fisch. Address. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. In particular the group focuses on applications of cryptography to real-world security problems.
CV; Florian Tramèr. Dan Boneh dabo@cs.stanford.edu Professor of Computer Science and Electrical Engineering, Stanford University. For two canonical DNNs, VGG16 and MobileNet, we obtain 20x and 6x increases in throughput for verifiable inference, and 10x and 3.5x for verifiable and private inference. Professor Boneh heads the applied cryptography group and co-direct the computer security lab. Co-director of the Stanford Computer Security Lab. My research interests lie in Computer Security, Machine Learning and Cryptography. Dan has 1 job listed on their profile. Professor Boneh's research focuses on applications of cryptography to computer security. Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware. My CV • I am a third-year PhD Student in computer science at Stanford University. We evaluate Slalom by executing DNNs in an Intel SGX enclave, which selectively outsources work to an untrusted GPU. I am grateful for the generous support of the Swiss National Science Foundation and the Open Philanthropy Project. It was created by Dan Boneh, Henry Corrigan-Gibbs (both at Stanford University) and Stuart Schechter He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. This paper initiates the study of high performance execution of Deep Neural Networks (DNNs) in trusted environments by efficiently partitioning computations between trusted and untrusted devices. In The 2018 IACR International Cryptology Conference, August 2018 Ruba Abu-Salma, M. Angela Sasse, Joseph Bonneau, Anastasia Danilova, Alena Naiakshina, and Matthew Smith. • I … Verifiable Delay Functions. The Applied Crypto Group is a part of the Security Lab in the Computer Science Department at Stanford University.Research projects in the group focus on various aspects of network and computer security. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Find link is a tool written by Edward Betts.. searching for Dan Boneh 16 found (49 total) alternate case: dan Boneh Balloon hashing (249 words) exact match in snippet view article find links to article proven memory-hard password-hashing and modern design. My advisor is Prof. Dan Boneh and I am part of the Applied Crypto Group. Building upon a simple secure outsourcing scheme for matrix multiplication, we propose Slalom, a framework that outsources execution of all linear layers in a DNN from any trusted environment (e.g., SGX, TrustZone or Sanctum) to a faster co-located device. I am a fourth year PhD student in Computer Science at Stanford University advised by Dan Boneh. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. Mail: Computer Science Dept., Gates 475, Stanford, CA, 94305-9045 ; Office: CS Building, Gates 475. Obstacles to the Adoption of Secure Communication Tools.
As Machine Learning (ML) gets applied to security-critical or sensitive domains, there is a growing need for integrity and privacy guarantees for ML computations running in untrusted environments. However, these isolation guarantees come at a price in performance, compared to untrusted alternatives.
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