HOP: Hardware makes Obfuscation Practical

By Kartik Nayak, Christopher W. Fletcher, Ling Ren, Nishanth Chandran, Satyanarayana V. Lokam, Elaine Shi, Vipul Goyal. 2017

55 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Dan Boneh
2. Dawn Song
3. Matthew D. Green
4. Ari Juels
5. Sergey Gorbunov
6. Brent Waters
7. Warren He
8. Ian Miers

In Signal Processing

1. Dawn Song
2. Ari Juels
3. Sergey Gorbunov
4. Matthew D. Green
5. Warren He
6. Dan Boneh
7. Fan Zhang
8. Dhinakaran Vinayagamurthy

Citations in the corpus

• Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2018, positive): “Ekiden is compatible with existing defenses [13], [58], [48], [75], [63].”
• IRON: Functional Encryption using Intel SGX (2017, methodology): “It has not yet been demonstrated that this is possible to achieve practically for generic programs given the current side-channel attacks on SGX, though some effort in this direction was made in [49] and demonstrated on SGX-like special purpose hardware in [46].”
• Giving State to the Stateless: Augmenting Trustworthy Computation with Ledgers (2019, background): “We assume that the enclave is a trustworthy computing environment, such as a tamper-resistant hardware co-processor, SGX enclave, or a cryptographically obfuscated circuit [48], [42].”
• The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2020, background): “…in Ekiden provides confidentiality, enabling efficient use of powerful cryptographic primitives that a TEE is known to emulate, such as functional encryption 9 and black-box obfus-cation, 12 and also provides a trustworthy source of randomness, a major acknowledged difficulty in blockchain systems.”