7 citations · 11 across the 5 of their papers we have counts for
6 papers
PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models
Bing He, Mustaque Ahamad, Srijan Kumar
What should a malicious user write next to fool a detection model? Identifying malicious users is critical to ensure the safety and integrity of internet platforms. Several deep le…
The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Nicholas Micallef, Bing He, Srijan Kumar +2
Fact checking by professionals is viewed as a vital defense in the fight against misinformation.While fact checking is important and its impact has been significant, fact checks co…
Using Inaudible Audio and Voice Assistants to Transmit Sensitive Data over Telephony
Zhengxian He, Mohit Narayan Rajput, Mustaque Ahamad
New security and privacy concerns arise due to the growing popularity of voice assistant (VA) deployments in home and enterprise networks. A number of past research results have de…
Fighting Voice Spam with a Virtual Assistant Prototype
Sharbani Pandit, Jienan Liu, Roberto Perdisci +1
Mass robocalls affect millions of people on a daily basis. Unfortunately, most current defenses against robocalls rely on phone blocklists and are ineffective against caller ID spo…
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks
Srishti Gupta, Dhruv Kuchhal, Payas Gupta +3
Cybercriminals abuse Online Social Networks (OSNs) to lure victims into a variety of spam. Among different spam types, a less explored area is OSN abuse that leverages the telephon…
By Hook or by Crook: Exposing the Diverse Abuse Tactics of Technical Support Scammers
Bharat Srinivasan, Athanasios Kountouras, Najmeh Miramirkhani +4
Technical Support Scams (TSS), which combine online abuse with social engineering over the phone channel, have persisted despite several law enforcement actions. The tactics used b…