Exploiting the Symmetry of $Z^n$: Randomization and the Automorphism Problem
K. Jiang, A. Wang, H. Luo, G. Liu, Y. Yu, and X. Wang. (2025). Exploiting the Symmetry of Z^n: Randomization and the Automorphism Problem. Journal of Cryptology 38(3).
CV
Education
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- M.S. in Jekyll, GitHub University, 2014
- B.S. in GitHub, GitHub University, 2012
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Re-randomize and Extract: A Novel Commitment Construction Framework Based on Group Actions
K. Jiang, A. Wang, H. Luo, G. Liu, G. Tang, Y. Pan and X. Wang. Re-randomize and Extract: A Novel Commitment Construction Framework Based on Group Actions. In: Fehr, S., Fouque, PA. (eds) Advances in Cryptology – EUROCRYPT 2025. EUROCRYPT 2025. Lecture Notes in Computer Science, vol 15602. Springer, Cham. https://doi.org/10.1007/978-3-031-91124-8_5
Exploring decryption failures of bike: New class of weak keys and key recovery attacks
T. Wang, A. Wang, X. Wang (2023). Exploring Decryption Failures of BIKE: New Class of Weak Keys and Key Recovery Attacks. In: Handschuh, H., Lysyanskaya, A. (eds) Advances in Cryptology – CRYPTO 2023. CRYPTO 2023. Lecture Notes in Computer Science, vol 14083. Springer, Cham. https://doi.org/10.1007/978-3-031-38548-3_3
Figstep: Jailbreaking large vision-language models via typographic visual prompts
Y. Gong, D. Ran, J. Liu, C. Wang, T. Cong, A. Wang, S. Duan and X. Wang (2025). FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts. Proceedings of the AAAI Conference on Artificial Intelligence, 39(22), 23951-23959. https://doi.org/10.1609/aaai.v39i22.34568
Safety misalignment against large language models
Y. Gong, D. Ran, X. He, T. Cong, A. Wang, S. Duan and X. Wang (2025). Safety Misalignment Against Large Language Models. In Proceedings of the 2025 Annual Network and Distributed System Security Symposium (NDSS).
Scloud+: An Efficient LWE-Based KEM Without Ring/Module Structure
A. Wang, Z. Zheng, C. Zhao, Z. Qiu, G. Zeng, Y. Yuan, C. Mu, and X. Wang (2025). Scloud+: An Efficient LWE-Based KEM Without Ring/Module Structure. In: Lu, X., Mitchell, C.J. (eds) Security Standardisation Research. SSR 2024. Lecture Notes in Computer Science, vol 15559. Springer, Cham. https://doi.org/10.1007/978-3-031-87541-0_7
Hard-label cryptanalytic extraction of neural network models
Y. Chen, X. Dong, J. Guo, Y. Shen, A. Wang, X. Wang, (2025). Hard-Label Cryptanalytic Extraction of Neural Network Models. In: Chung, KM., Sasaki, Y. (eds) Advances in Cryptology – ASIACRYPT 2024. ASIACRYPT 2024. Lecture Notes in Computer Science, vol 15491. Springer, Singapore. https://doi.org/10.1007/978-981-96-0944-4_7
Faster BGV Bootstrapping for Power-of-Two Cyclotomics Through Homomorphic NTT
S. Ma, T. Huang, A. Wang, X. Wang (2025). Faster BGV Bootstrapping for Power-of-Two Cyclotomics Through Homomorphic NTT. In: Chung, KM., Sasaki, Y. (eds) Advances in Cryptology – ASIACRYPT 2024. ASIACRYPT 2024. Lecture Notes in Computer Science, vol 15484. Springer, Singapore. https://doi.org/10.1007/978-981-96-0875-1_5
Cryptanalysis of rank-2 module-LIP with symplectic automorphisms
H. Luo, K. Jiang, Y. Pan, A. Wang (2025). Cryptanalysis of Rank-2 Module-LIP with Symplectic Automorphisms. In: Chung, KM., Sasaki, Y. (eds) Advances in Cryptology – ASIACRYPT 2024. ASIACRYPT 2024. Lecture Notes in Computer Science, vol 15487. Springer, Singapore. https://doi.org/10.1007/978-981-96-0894-2_12
Unbalanced private set union with reduced computation and communication
C. Zhang, Y. Chen, W. Liu, L. Peng, M. Hao, A. Wang, and X. Wang, (2024). Unbalanced private set union with reduced computation and communication. In Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security (pp. 1434-1447). https://doi.org/10.1145/3658644.369030
Have you merged my model? on the robustness of large language model ip protection methods against model merging
T. Cong, D. Ran, Z. Liu, X. He, J. Liu, Y. Gong, Q. Li, A. Wang, and X. Wang. 2024. Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging. In Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis (LAMPS ’24), October 14–18, 2024, Salt Lake City, UT, USA. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3689217.3690614
Approximate Methods for the Computation of Step Functions in Homomorphic Encryption
T. Huang, S. Ma, A. Wang, and X. Wang (2024). Approximate Methods for the Computation of Step Functions in Homomorphic Encryption. In: Zhu, T., Li, Y. (eds) Information Security and Privacy. ACISP 2024. Lecture Notes in Computer Science, vol 14895. Springer, Singapore. https://doi.org/10.1007/978-981-97-5025-2_12
BGV Bootstrapping for Large p Using Null Polynomials Over $Z_{p^e}$
S. Ma, T. Huang, A. Wang, X. Wang (2024). Accelerating BGV Bootstrapping for Large p Using Null Polynomials over . In: Joye, M., Leander, G. (eds) Advances in Cryptology – EUROCRYPT 2024. EUROCRYPT 2024. Lecture Notes in Computer Science, vol 14652. Springer, Cham. https://doi.org/10.1007/978-3-031-58723-8_14
Fast and Accurate: Efficient Full-Domain Functional Bootstrap and Digit Decomposition for Homomorphic Computation
S. Ma, T. Huang, A. Wang, Q. Zhou, and X. Wang (2023). Fast and Accurate: Efficient Full-Domain Functional Bootstrap and Digit Decomposition for Homomorphic Computation. IACR Transactions on Cryptographic Hardware and Embedded Systems, 2024(1), 592-616. https://doi.org/10.46586/tches.v2024.i1.592-616
Exploiting the Symmetry of $Z^n$: Randomization and the Automorphism Problem
K. Jiang, A. Wang, H. Luo, G. Liu, Y. Yu, and X. Wang. (2023). Exploiting the Symmetry of Z^n: Randomization and the Automorphism Problem. In: Guo, J., Steinfeld, R. (eds) Advances in Cryptology – ASIACRYPT 2023. ASIACRYPT 2023. Lecture Notes in Computer Science, vol 14441. Springer, Singapore. https://doi.org/10.1007/978-981-99-8730-6_6
Mind the tweakey schedule: cryptanalysis on skinnye-64-256
L. Qin, X. Dong, A. Wang, J. Hua, X. Wang. (2022). Mind the TWEAKEY Schedule: Cryptanalysis on SKINNYe-64-256. In: Agrawal, S., Lin, D. (eds) Advances in Cryptology – ASIACRYPT 2022. ASIACRYPT 2022. Lecture Notes in Computer Science, vol 13791. Springer, Cham. https://doi.org/10.1007/978-3-031-22963-3_10
A Refinement of Key Mismatch Attack on NewHope
X. Zhang , Z. Zheng, and A. Wang. (2022). A Refinement of Key Mismatch Attack on NewHope. The Computer Journal, Volume 65, Issue 8, August 2022, Pages 2209–2220, https://doi.org/10.1093/comjnl/bxab058
Optimizing Bootstrapping and Evaluating Large FHE Gates in the LWE-based GSW-FHE
C. Liu, A. Wang, Z. Zheng (2021). Optimizing Bootstrapping and Evaluating Large FHE Gates in the LWE-Based GSW-FHE. In: Baek, J., Ruj, S. (eds) Information Security and Privacy. ACISP 2021. Lecture Notes in Computer Science(), vol 13083. Springer, Cham. https://doi.org/10.1007/978-3-030-90567-5_30
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams