Kapil Vaswani

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 83 citations into it; #23,903 of 35,345 by trust here, #17,412 by citations
• Information Systems — 34 citations into it; #7,253 of 8,771 by trust here, #5,303 by citations
• Signal Processing — 29 citations into it; #4,948 of 7,572 by trust here, #2,990 by citations
• Privacy & Security — 22 citations into it
• Computer Networks and Communications — 21 citations into it
• Computational Theory and Mathematics — 19 citations into it

Whom Kapil Vaswani trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chia-che Tsai
2. Johannes Blömer
3. Andrew Baumann
4. Francis X. McKeen
5. David A. McGrew
6. Craig Gentry
7. Donald E. Porter
8. Marcus Peinado
9. Raluca Ada Popa
10. Bruno Blanchet

Who trusts Kapil Vaswani overall

1. Rohit Sinha
2. Huili Chen
3. Taegyeong Lee

Papers from Kapil Vaswani's perspective

Ordered by how strongly the researchers Kapil Vaswani trusts endorse each paper. Same corpus, a different order for every researcher.

1. Shielding Applications from an Untrusted Cloud with Haven
2. Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems
3. Using innovative instructions to create trustworthy software solutions
4. Innovative instructions and software model for isolated execution
5. Fully homomorphic encryption using ideal lattices
6. Software protection and simulation on oblivious RAMs
7. This paper is included in the Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16).
8. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
9. Software Grand Exposure: SGX Cache Attacks Are Practical
10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers

• Graviton: Trusted Execution Environments on GPUs (2018) — 266 citations
• EnclaveDB: A Secure Database Using SGX (2018) — 339 citations
• Oblivious Multi-Party Machine Learning on Trusted Processors (2016) — 602 citations
• A design and verification methodology for secure isolated regions (2016) — 71 citations
• Moat: Verifying Confidentiality of Enclave Programs (2015) — 118 citations