Jae-Hyuk Lee
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it
Whom Jae-Hyuk Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jae-Hyuk Lee overall
Papers from Jae-Hyuk Lee's perspective
Ordered by how strongly the researchers Jae-Hyuk Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Shielding Applications from an Untrusted Cloud with Haven
- Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems
- Using innovative instructions to create trustworthy software solutions
- Innovative Technology for CPU Based Attestation and Sealing
- VC3: Trustworthy Data Analytics in the Cloud Using SGX
- This paper is included in the Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI ’16).
- Software Grand Exposure: SGX Cache Attacks Are Practical
- The geometry of innocent flesh on the bone: return-into-libc without function calls (on the x86) (Conference on Computer and Communications Security)
- Malware Guard Extension: Using SGX to Conceal Cache Attacks
- Oblivious Multi-Party Machine Learning on Trusted Processors
Their papers
- Hacking in Darkness: Return-oriented Programming against Secure Enclaves (2017) — 195 citations
- SGX-Bomb: Locking Down the Processor via Rowhammer Attack (2017) — 187 citations