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Junchao Zhou

dblp:242/3737 · DBLP profile ↗
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4ranked-venue papers
3as first author
3since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 3 first-author · 3 since 2021Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Digital forensics and information hiding · 50% Cryptographic primitives and cryptanalysis · 50%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding › steganography
image steganography
0.912025
Efficient and Separate Authentication Image Steganography Network · ICML 2025
Digital forensics and information hiding
steganography
0.912025
Efficient and Separate Authentication Image Steganography Network · ICML 2025
Cryptographic primitives and cryptanalysis
block cipher
0.412020
A Class of Quadrinomial Permutations With Boomerang Uniformity Four · IEEE Trans. Inf. Theory 2020
Cryptographic primitives and cryptanalysis › block cipher cryptanalysis
boomerang uniformity
0.412020
A Class of Quadrinomial Permutations With Boomerang Uniformity Four · IEEE Trans. Inf. Theory 2020
Cryptographic primitives and cryptanalysis › finite field
permutation polynomials
0.412020
A Class of Quadrinomial Permutations With Boomerang Uniformity Four · IEEE Trans. Inf. Theory 2020
Cryptographic primitives and cryptanalysis › block cipher
s-box
0.412020
A Class of Quadrinomial Permutations With Boomerang Uniformity Four · IEEE Trans. Inf. Theory 2020

Methods — techniques the papers use, named apart from their topics

separate authentication · 0.9lock-key generation · 0.9distribution adaptation · 0.9boomerang connectivity table · 0.4
YearPublicationVenuePosition
2026 Adaptive critical speed prediction for straddle-type monorail operational safety: A meta-learning framework with few-shot deployment
Junchao Zhou, Shangwu Huang, Jianjie Gao, Haiping Du
Eng. Appl. Artif. Intell.1
2025 Efficient and Separate Authentication Image Steganography Network
abstract
Image steganography hides multiple images for multiple recipients into a single cover image. All secret images are usually revealed without authentication, which reduces security among multiple recipients. It is elegant to design an authentication mechanism for isolated reception. We explore such mechanism through sufficient experiments, and uncover that additional authentication information will affect the distribution of hidden information and occupy more hiding space of the cover image. This severely decreases effectiveness and efficiency in large-capacity hiding. To overcome such a challenge, we first prove the authentication feasibility within image steganography. Then, this paper proposes an image steganography network collaborating with separate authentication and efficient scheme. Specifically, multiple pairs of lock-key are generated during hiding and revealing. Unlike traditional methods, our method has two stages to make appropriate distribution adaptation between locks and secret images, simultaneously extracting more reasonable primary information from secret images, which can release hiding space of the cover image to some extent. Furthermore, due to separate authentication, fused information can be hidden in parallel with a single network rather than traditional serial hiding with multiple networks, which can largely decrease the model size. Extensive experiments demonstrate that the proposed method achieves more secure, effective, and efficient image steganography. Code is available at https://github.com/Revive624/Authentication-Image-Steganography.
Junchao Zhou, Yao Lu 0008, Jie Wen 0001, Guangming Lu 0002
ICML1
2025 Individualized image steganography method with Dynamic Separable Key and Adaptive Redundancy Anchor
Junchao Zhou, Yao Lu 0008, Guangming Lu 0002
Knowl. Based Syst.1
2020 A Class of Quadrinomial Permutations With Boomerang Uniformity Four
abstract
In Eurocrypt'18, Cid et al. proposed a new cryptanalysis tool called Boomerang Connectivity Table (BCT), to evaluate S-boxes of block ciphers. Later, Boura and Canteaut further investigated the new parameter Boomerang uniformity for cryptographic S-boxes. It is of great interest to find new S-boxes with low Boomerang uniformity for even dimensions. In this paper, we prove that a class of permutation quadrinomials over F2(2m)with m odd has Boomerang uniformity four, which gives the fifth class of such kind of permutation polynomials. Further, the occurrences of 0 and 4 in the BCTs of the investigated permutation polynomials are also completely determined.
Ziran Tu, Nian Li 0005, Xiangyong Zeng, Junchao Zhou
IEEE Trans. Inf. Theory4