Peihan Liu

Peihan Liu

University of Michigan

H-index: 4

North America-United States

About Peihan Liu

Peihan Liu, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Differential Privacy, Algorithmic Fairness, Responsible AI, Algebraic Coding Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

On Some Special Matrices and Their Application to Code Construction

Improving Adversarial Transferability with Scheduled Step Size and Dual Example

How Hard Is Cyber-risk Management in IT/OT Systems? A Theory to Classify and Conquer Hardness of Insuring ICSs

Constacyclic and quasi-twisted codes over and new -linear codes

Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training

Skew cyclic codes over

Entanglement-assisted binary quantum codes from skew cyclic codes over

Good classical and quantum codes from multi-twisted codes

Peihan Liu Information

University

Position

Student of

Citations(all)

35

Citations(since 2020)

35

Cited By

2

hIndex(all)

4

hIndex(since 2020)

4

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Peihan Liu Skills & Research Interests

Differential Privacy

Algorithmic Fairness

Responsible AI

Algebraic Coding Theory

Top articles of Peihan Liu

On Some Special Matrices and Their Application to Code Construction

2023/2

Improving Adversarial Transferability with Scheduled Step Size and Dual Example

arXiv preprint arXiv:2301.12968

2023/1/30

How Hard Is Cyber-risk Management in IT/OT Systems? A Theory to Classify and Conquer Hardness of Insuring ICSs

ACM Transactions on Cyber-Physical Systems (TCPS)

2023/1/6

Ranjan Pal
Ranjan Pal

H-Index: 12

Peihan Liu
Peihan Liu

H-Index: 1

Constacyclic and quasi-twisted codes over and new -linear codes

Advances in Mathematics of Communications

2023/7/31

Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training

arXiv preprint arXiv:2306.08173

2023/6/13

Skew cyclic codes over

Cryptography and Communications

2023/7

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

Entanglement-assisted binary quantum codes from skew cyclic codes over

Quantum Information Processing

2023/5/10

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

Good classical and quantum codes from multi-twisted codes

Algebra and Coding Theory

2023/5/1

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

Additive polycyclic codes over 14 II: The general case

2023/2/21

Peihan Liu
Peihan Liu

H-Index: 1

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies

arXiv preprint arXiv:2207.04581

2022/7/11

Polycyclic codes associated with trinomials: good codes and open questions

Designs, Codes and Cryptography

2022/5

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

Additive polycyclic codes over induced by binary vectors and some optimal codes

arXiv preprint arXiv:2108.09198

2021/8/20

Cyber (re-) insurance policy writing is NP-hard in IoT societies

2021/12/12

Ranjan Pal
Ranjan Pal

H-Index: 12

Peihan Liu
Peihan Liu

H-Index: 1

A database of quantum codes

arXiv preprint arXiv:2108.03567

2021/8/8

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

New Linear Codes as Quasi-Twisted Codes from Long Constacyclic Codes

2020/10/11

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

Some generalizations of the ASR search algorithm for quasitwisted codes

Involve, a Journal of Mathematics

2020/2/4

Nuh Aydin
Nuh Aydin

H-Index: 16

Peihan Liu
Peihan Liu

H-Index: 1

See List of Professors in Peihan Liu University(University of Michigan)

Co-Authors

academic-engine