Hi 👋🏼 My name is Shiza!

I work at the intersection of usable security, applied machine learning, and cyber safety, developing computational methods to detect, understand, and mitigate AI-mediated harms such as scams, deepfakes, and survey fraud. I study how malicious actors exploit AI to deceive, manipulate, or evade detection on social media by designing robust ML pipelines and socio-technical safeguards to counter them.

 

Previously, I worked within the (RAISE Lab) to develop hybrid toxicity detection models for Twitch through text–emote patterns in livestreaming, and investigated biases in AI-generated co-authorship networks. I earned my PhD in Electrical and Computer Engineering from Boston University, where I was part of the where I was a part of the Security Lab (SeclaBU) and collaborated with iDrama Lab and STIR Lab on detecting youth exploitation, disinformation, and coordinated abuse across social media platforms.
Read more about my research here.

My work has been published in top-tier venues including ACM CHI, CSCW, and IEEE S&P and has been reported by WIRED. My research has been supported by the National Science Foundation (NSF) .

News

2024  August Started postdoc at the University of Washington.
2024  May Defended my PhD. Thesis. You can call me a doc. now!!
2023  December Gave a talk on "Tackling Malicious Activity Online" at the University of Iowa
2023  November I was awarded "Rising Star in Social Computing and Tech Policy" by University of Iowa
2023  October Our paper "Sliding into My DMs" received the Impact Recognition award!
2023  August I got selected for the SIGCHI Gary Marsden Travel Award.
2023  May I received Research PhD. Fellowship Finalist Award at Meta.
2023  April Our papers titled "Getting Meta" and "Sliding into My DMs" got accepted at CSCW'23. Two papers yaayy!!
2022  August My Paper "Understanding the Digital Lives of Youth" got the Honorable Mention Award at CHI'22'!!
2022  April Our paper titled "Understanding the Digital Lives of Youth" got accepted at CHI'22!

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