| Zkml: An optimizing system for ml inference in zero-knowledge proofs BJ Chen, S Waiwitlikhit, I Stoica, D Kang Proceedings of the Nineteenth European Conference on Computer Systems, 560-574, 2024 | 111 | 2024 |
| Trustless audits without revealing data or models S Waiwitlikhit, I Stoica, Y Sun, T Hashimoto, D Kang International Conference on Machine Learning (ICML) 2024, 2024 | 26 | 2024 |
| Subset-optimized bls multi-signature with key aggregation F Baldimtsi, KK Chalkias, F Garillot, J Lindstrøm, B Riva, A Roy, ... International Conference on Financial Cryptography and Data Security, 188-205, 2024 | 24 | 2024 |
| Breaking Barriers: Do Reinforcement Post Training Gains Transfer To Unseen Domains? C Hu, Y Zhu, A Kellermann, C Biddulph, S Waiwitlikhit, J Benn, D Kang arXiv preprint arXiv:2506.19733, 2025 | 5 | 2025 |
| Tensorplonk: A “gpu”’for zkml, delivering 1,000 x speedups D Kang, S Waiwitlikhit Medium, 2023 | 5 | 2023 |
| Breaking Barriers: Do Reinforcement Fine-tuning Gains Transfer To Unseen Domains? C Hu, Y Zhu, A Kellermann, C Biddulph, S Waiwitlikhit, J Benn, D Kang The Fourteenth International Conference on Learning Representations, 0 | | |
