EDBT 2026 Demo / reviewers in the wild / expert
Yincen Chen
dblp:357/9938
· DBLP profile ↗
9ranked-venue papers
2as first author
9since 2021 · last 2026
0000-0003-3830-8169ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 9 · 2 first-author · 9 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Exploiting Strong Key Bridges: Full-Fledged Automatic Rectangle Attacks on Deoxys-BC and SKINNY
Ling Song 0001, Yincen Chen, Qianqian Yang 0003, Lei Wang 0031, Lei Hu 0003, Jian Weng 0001 |
CRYPTO (6) | 2 |
| 2025 | Improving the Differential-Linear Attack with Applications to GIFT-COFB, GIFT-64 and HyENA
Yincen Chen, Ling Song 0001, Yin Lv |
ISC | 2 |
| 2024 | Generic Differential Key Recovery Attacks and Beyond
Ling Song 0001, Qianqian Yang 0003, Yincen Chen, Lei Hu 0003, Jian Weng 0001 |
ASIACRYPT (7) | 4 |
| 2024 | Probabilistic Extensions: A One-Step Framework for Finding Rectangle Attacks and Beyond
Ling Song 0001, Qianqian Yang 0003, Yincen Chen, Lei Hu 0003, Jian Weng 0001 |
EUROCRYPT (1) | 3 |
| 2024 | Improving Differential-Neural Cryptanalysis for Large-State SPECK
Tianrong Huang, Yingying Li 0001, Qinggan Fu, Yincen Chen, Ling Song 0001 |
ICICS (1) | 4 |
| 2024 | Revisiting the shuffle of generalized Feistel structureabstractAbstract The Generalized Feistel Structure ( $$\texttt{GFS}$$ GFS ) is one of the most widely used frameworks in symmetric cipher design. In FES 2010, Suzaki and Minematsu strengthened the cryptanalysis security of $$\texttt{GFS}$$ GFS by searching for shuffles with the best diffusion property. In ASIACRYPT 2018, Shi et al. suggested a set of shuffles, which makes $$\texttt{GFS}$$ GFS a better resistance against Demirci–Selcuk meet-in-the-middle cryptanalysis. Since these shuffles are different from the currently known good ones and also different from the shuffles used in $$\texttt{TWINE}$$ TWINE and $$\texttt{LBlock}$$ LBlock , our research focuses on a more comprehensive evaluation of $$\texttt{GFS}$$ GFS with different shuffles, including diffusion property of shuffle, differential, linear, impossible differential, zero-correlation linear, integral and Demirci–Selcuk meet-in-the-middle cryptanalysis, to find the best one. Such evaluations entail significant time consumption. Thus, we utilize Mixed Integral Linear Programming models and introduce an evaluate-and-filter strategy to achieve it efficiently. Our results verify that the shuffles discovered by Suzaki and Minematsu and those used in $$\texttt{TWINE}$$ TWINE and $$\texttt{LBlock}$$ LBlock are the best so far. We also find that the cryptanalysis resistances of $$\texttt{GFS}$$ GFS are not necessarily consistent. It is this finding that makes the necessity of our more comprehensive evaluation self-evident. Yincen Chen, Xuanyu Liang, Ling Song 0001, Qianqian Yang 0003 |
Cybersecur. | 1 |
| 2023 | Improved Related-Key Rectangle Attack Against the Full AES-192
Xuanyu Liang, Yincen Chen, Ling Song 0001, Qianqian Yang 0003, Zhuohui Feng, Tianrong Huang |
ICICS | 2 |
| 2023 | Improving the Rectangle Attack on GIFT-64
Yincen Chen, Xuanyu Liang, Ling Song 0001, Qianqian Yang 0003, Zhuohui Feng |
SAC | 1 |
| 2023 | Generic attacks on small-state stream cipher constructions in the multi-user settingabstractAbstract Small-state stream ciphers (SSCs), which violate the principle that the state size should exceed the key size by a factor of two, still demonstrate robust security properties while maintaining a lightweight design. These ciphers can be classified into several constructions and their basic security requirement is to resist generic attacks, i.e., the time–memory–data tradeoff (TMDTO) attack. In this paper, we investigate the security of small-state constructions in the multi-user setting. Based on it, the TMDTO distinguishing attack and the TMDTO key recovery attack are developed for such a setting. It is shown that SSCs which continuously use the key can not resist the TMDTO distinguishing attack. Moreover, SSCs based on the continuous-IV-key-use construction cannot withstand the TMDTO key recovery attack when the key length is shorter than the IV length, no matter whether the keystream length is limited or not. Finally, we apply these two generic attacks to TinyJAMBU and DRACO in the multi-user setting. The TMDTO distinguishing attack on TinyJAMBU with a 128-bit key can be mounted with time, memory, and data complexities of $$2^{64}$$ 2 64 , $$2^{48}$$ 2 48 , and $$2^{32}$$ 2 32 , respectively. This attack is comparable with a recent work on ToSC 2022, where partial key bits of TinyJAMBU are recovered with more than $$2^{50}$$ 2 50 users (or keys). As DRACO’s IV length is smaller than its key length, it is vulnerable to the TMDTO key recovery attack. The resulting attack has a time and memory complexity of both $$2^{112}$$ 2 112 , which means DRACO does not provide 128-bit security in the multi-user setting. Jianfu Huang, Qinggan Fu, Yincen Chen, Ling Song 0001 |
Cybersecur. | 4 |