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2020 – today
- 2024
[c4]Bolton Bailey, Andrew Miller:
Formalizing Soundness Proofs of Linear PCP SNARKs. USENIX Security Symposium 2024- [i6]Bolton Bailey, Or Sattath:
51% Attack via Difficulty Increase with a Small Quantum Miner. CoRR abs/2403.08023 (2024) - 2023
- [i5]Bolton Bailey, Andrew Miller:
Formalizing Soundness Proofs of SNARKs. IACR Cryptol. ePrint Arch. 2023: 656 (2023) - 2022
- [i4]Bolton Bailey, Andrew Miller, Or Sattath:
General Partially Fair Multi-Party Computation with VDFs. IACR Cryptol. ePrint Arch. 2022: 1318 (2022) - 2021
- [c3]Bolton Bailey, Suryanarayana Sankagiri:
Merkle Trees Optimized for Stateless Clients in Bitcoin. Financial Cryptography Workshops 2021: 451-466 - [i3]Bolton Bailey, Suryanarayana Sankagiri:
Merkle Trees Optimized for Stateless Clients in Bitcoin. IACR Cryptol. ePrint Arch. 2021: 340 (2021)
2010 – 2019
- 2019
- [c2]Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng:
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization. ICML 2019: 1071-1080 - [i2]Yucheng Chen, Matus Telgarsky, Chao Zhang, Bolton Bailey, Daniel Hsu, Jian Peng:
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization. CoRR abs/1906.03471 (2019) - 2018
- [c1]Bolton Bailey, Matus Telgarsky:
Size-Noise Tradeoffs in Generative Networks. NeurIPS 2018: 6490-6500 - [i1]Bolton Bailey, Matus Telgarsky:
Size-Noise Tradeoffs in Generative Networks. CoRR abs/1810.11158 (2018)
Coauthor Index
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