18 citations · 42 across the 13 of their papers we have counts for
14 papers
ROBAD: Robust Adversary-aware Local-Global Attended Bad Actor Detection Sequential Model
Bing He, Mustaque Ahamad, Srijan Kumar
Detecting bad actors is critical to ensure the safety and integrity of internet platforms. Several deep learning-based models have been developed to identify such users. These mode…
WavePulse: Real-time Content Analytics of Radio Livestreams
Govind Mittal, Sarthak Gupta, Shruti Wagle +5
Radio remains a pervasive medium for mass information dissemination, with AM/FM stations reaching more Americans than either smartphone-based social networking or live television.…
Evaluating Synthetic Command Attacks on Smart Voice Assistants
Zhengxian He, Ashish Kundu, Mustaque Ahamad
Recent advances in voice synthesis, coupled with the ease with which speech can be harvested for millions of people, introduce new threats to applications that are enabled by devic…
SoK: An Essential Guide For Using Malware Sandboxes In Security Applications: Challenges, Pitfalls, and Lessons Learned
Omar Alrawi, Miuyin Yong Wong, Athanasios Avgetidis +7
Malware sandboxes provide many benefits for security applications, but they are complex. These complexities can overwhelm new users in different research areas and make it difficul…
Corrective or Backfire: Characterizing and Predicting User Response to Social Correction
Bing He, Yingchen Ma, Mustaque Ahamad +1
Online misinformation poses a global risk with harmful implications for society. Ordinary social media users are known to actively reply to misinformation posts with counter-misinf…
Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation
Bing He, Mustaque Ahamad, Srijan Kumar
The spread of online misinformation threatens public health, democracy, and the broader society. While professional fact-checkers form the first line of defense by fact-checking po…
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…
Building a Collaborative Phone Blacklisting System with Local Differential Privacy
Daniele Ucci, Roberto Perdisci, Jaewoo Lee +1
Spam phone calls have been rapidly growing from nuisance to an increasingly effective scam delivery tool. To counter this increasingly successful attack vector, a number of commerc…
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…
Abusing Phone Numbers and Cross-Application Features for Crafting Targeted Attacks
Srishti Gupta, Payas Gupta, Mustaque Ahamad +1
With the convergence of Internet and telephony, new applications (e.g., WhatsApp) have emerged as an important means of communication for billions of users. These applications are…