Yeongjin Jang

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yeongjin Jang trusts overall

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

  1. Daniel Gruss
  2. Tyler Hunt
  3. Felix Schuster
  4. Yuanzhong Xu
  5. Yoongu Kim
  6. Clémentine Maurice
  7. Patrice Godefroid
  8. Marcus Peinado
  9. Michael Schwarz
  10. Shay Gueron

Papers from Yeongjin Jang's perspective

Ordered by how strongly the researchers Yeongjin Jang 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. VC3: Trustworthy Data Analytics in the Cloud Using SGX
  4. Software Grand Exposure: SGX Cache Attacks Are Practical
  5. Using innovative instructions to create trustworthy software solutions
  6. This paper is included in the Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16).
  7. Pin: building customized program analysis tools with dynamic instrumentation (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
  8. Innovative Technology for CPU Based Attestation and Sealing
  9. The geometry of innocent flesh on the bone: return-into-libc without function calls (on the x86) (Conference on Computer and Communications Security)
  10. Rowhammer.js: A Remote Software-Induced Fault Attack in JavaScript (International Conference on Detection of intrusions and malware, and vulnerability assessment)

Their papers