activity
20182023
most citedAutomatically Generate Steganographic Text Based on Markov Model and Huffman Coding

30 citations · 48 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2023

Practical Cross-System Shilling Attacks with Limited Access to Data

Meifang Zeng, Ke Li, Bingchuan Jiang +2

In shilling attacks, an adversarial party injects a few fake user profiles into a Recommender System (RS) so that the target item can be promoted or demoted. Although much effort h…

cs.CR2023★ 1 cited

An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation

Pinghui Wang, Chengjin Yang, Dongdong Xie +4

Counting the number of distinct elements distributed over multiple data holders is a fundamental problem with many real-world applications ranging from crowd counting to network mo…

cs.CR2022★ 7 cited

Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance Estimation

Xiaoguang Li, Ninghui Li, Wenhai Sun +2

Although local differential privacy (LDP) protects individual users' data from inference by an untrusted data curator, recent studies show that an attacker can launch a data poison…

cs.CV2021★ 10 cited

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

Yuanhan Zhang, Zhenfei Yin, Jing Shao +22

As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, fa…

cs.CR2018★ 30 cited

Automatically Generate Steganographic Text Based on Markov Model and Huffman Coding

Zhongliang Yang, Shuyu Jin, Yongfeng Huang +2

Steganography, as one of the three basic information security systems, has long played an important role in safeguarding the privacy and confidentiality of data in cyberspace. The…