output
20132026
most citedFrom W-Net to CDGAN: Bi-temporal Change Detection via Deep Learning Techniques

179 citations

25 papers

cs.CL2026

New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs

Shiyao Cui, QingLin Zhang, Di Wang +7

Neologisms, emerging terms in meaning or form, can serve as new vehicles for toxic expression, like "country girl" as a stigmatizing label targeting feminism. Such toxic neologisms…

cs.CR2025★ 1 cited

ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models

Siyang Cheng, Gaotian Liu, Rui Mei +7

The rapid adoption of large language models (LLMs) has brought both transformative applications and new security risks, including jailbreak attacks that bypass alignment safeguards…

cs.CR2023★ 16 cited

Detecting unknown HTTP-based malicious communication behavior via generated adversarial flows and hierarchical traffic features

Xiaochun Yun, Jiang Xie, Shuhao Li +2

Malicious communication behavior is the network communication behavior generated by malware (bot-net, spyware, etc.) after victim devices are infected. Experienced adversaries ofte…

cs.NI2023★ 31 cited

HSTF-Model: an HTTP-based Trojan Detection Model via the Hierarchical Spatio-Temporal Features of Traffics

Jiang Xie, Shuhao Lia, Xiaochun Yun +2

HTTP-based Trojan is extremely threatening, and it is difficult to be effectively detected because of its concealment and confusion. Previous detection methods usually are with poo…

cs.IT2021★ 2 cited

Recent Colorings And Labelings In Topological Coding

Bing Yao, Hongyu Wang

Topological Coding consists of two different kinds of mathematics: topological structure and mathematical relation. The colorings and labelings of graph theory are main techniques…

cs.CL2021★ 6 cited

Attend and select: A segment selective transformer for microblog hashtag generation

Qianren Mao, Xi Li, Bang Liu +4

Hashtag generation aims to generate short and informal topical tags from a microblog post, in which tokens or phrases form the hashtags. These tokens or phrases may originate from…