Jaspreet Bhatia

4208 Wean Hall, Carnegie Mellon University

I am a third year Ph.D. student at the Institute for Software Research at Carnegie Mellon University. I am fortunate to be advised by Dr. Travis Breaux.

I am broadly interested in applying natural language processing techniques to solve software engineering problems. More specifically, my research work focuses on developing techniques to extract and analyze privacy requirements using crowdsourcing, natural language processing, and user studies.

During my PhD so far, I have developed a hybridized task re-composition framework, that semi-automatically extracts privacy goals that describe a website's data practices. I have also worked on developing a theory of vagueness and privacy risk perception, with our collaborators, Joel Reidenberg and Thomas Nortan.

I have been working on developing an empirically validated framework for understanding and measuring perceived privacy risk.

I am currently also working on developing a framework to extract and analyze data practices described in privacy policies, using frames. These frames help store the semantic information extracted from the data practice in a structured format, enable question-answering about the privacy policy, and help users and regulators better understand the website's data practices.


Dec 2016 Our TOSEM paper on extracting privacy goals using hybridized task re-composition framework has been invited for presentation at ICSE 2017.
16 Nov 2016 Our paper on ambiguity in privacy policies and its impact on regulations is awarded Honorable Mention for Privacy Papers for Policymakers (Press Release).
18 Oct 2016 Presented our work on perceived privacy risk at the C3E workshop at Georgia Institute of Technology, Atlanta.
16 Sep 2016 Our paper on vagueness and risk perception was nominated for best paper award at RE'16 in Beijing.
15 Sep 2016 I will be presenting our paper on vagueness and risk perception at RE 2016, in Beijing (China) on 15 September 2016.
Summer 2016 Mentored an (awesome!) undergraduate REU student, Morgan Evans. Developed a technique to automatically identify and extract information type hyponymy relationships in privacy policies.
21 Mar 2016 Our paper on extracting privacy goals using hybridized task re-composition framework has been accepted for publication to TOSEM journal first edition.
16 Oct 2015 Joel Reidenberg and I, presented our work on comparing privacy policy ambiguity and its impact on regulation at the Contracting over Privacy Workshop, at University of Chicago.
Aug 2015 Presented our paper on automatically extracting information types from crowsourced privacy policy annotations at RELAW workshop held at RE 2015, in Ottawa (Canada).

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