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Publications (13)
Emoji domains, such as
(xn–i-7iq.ws), are distinctive and attractive to registrants due to their eye-catching visuals. Despite its long history (over 20 years), little has been done to understand its development status and security issues. In this paper, we identify 54,403 emoji domains from 1,366 TLD zone files and a large-scale passive DNS datase...
Natural language processing (NLP) models are known vulnerable to adversarial examples, similar to image processing models. Studying adversarial texts is an essential step to improve the robustness of NLP models. However, existing studies mainly focus on generating adversarial texts for English, with no prior knowledge that whether those attacks cou...
Fake base station (FBS) has been exploited by criminals to attack mobile users by spamming fraudulent messages for over a decade. Despite that prior work has proposed several techniques to mitigate this issue, FBS spam is still a long-standing challenging issue in some countries, such as China, and causes billions of dollars of financial loss every...
Natural language processing (NLP) models are known vulnerable to adversarial examples, similar to image processing models. Studying adversarial texts is an essential step to improve the robustness of NLP models. However, existing studies mainly focus on analyzing English texts and generating adversarial examples for English texts. There is no work...
In this paper, we present a large-scale analysis about an emerging new type of domain-name fraud, which we call levelsquatting. Unlike existing frauds that impersonate well-known brand names (like google.com) by using similar second-level domain names, adversaries here embed brand name in the subdomain section, deceiving users especially mobile use...
The popularity of online gambling could bring negative social impact, and many countries ban or restrict online gambling. Taking China for example, online gambling violates Chinese laws and hence is illegal. However, illegal online gambling websites are still thriving despite strict restrictions, since they are able to make tremendous illicit profi...
In this paper, we present a large-scale analysis about an emerging new type of domain-name fraud, which we call levelsquatting. Unlike existing frauds that impersonate well-known brand names (like google.com) by using similar second-level domain names, adversaries here embed brand name in the subdomain section, deceiving users especially mobile use...