Anupam Das

Post-Doctoral Associate
Institute for Software Research
School of Computer Science
Carnegie Mellon University

Email: anupamd AT cs DOT cmu DOT edu
Office: Wean Hall, Room 4121

Links: [Recent News] [Education] [Research Interests] [Projects] [Publications] [Patents] [Talks] [Professional Experiences]

I will be joining North Carolina State University as an assistant professor from Spring 2019.
I'm looking for motivated students!

Recent News


I am currently working as a post-doctoral associate at Carnegie Mellon University under Professor Norman Sadeh and Professor Lujo Bauer. I received my PhD degree from the Department of Computer Science at the University of Illinois at Urbana Champaign (UIUC) where I was advised by Professor Nikita Borisov. Prior to joining UIUC, I obtained M.Sc and B.Sc degree in Computer Science and Engineering (CSE) from the Department of Computer Science and Engineering at Bangladesh University of Engineering and Technology (BUET) in 2010 and 2008, respectively. I was a former Fulbright Fellow from 2010 to 2013 while pursuing PhD degree.

Here is a copy of my CV.

Research Interests

My research interest lies in the domain of security and privacy. My current research direction focuses on exploring the security and privacy challenges in the era of Internet of Things (IoT) with a special focus on designing frameworks that can discover, inform and control what information is shared with different data analytics.

In my doctoral dissertation, I have investigated how different sensors embedded in devices like smartphones can be exploited as side channels to extract information to uniquely track smartphones for targeted ads. In that context, I have developed countermeasures that can restore users’ privacy without compromising the utility of the sensors. In addition to my dissertation research, I have also improved the resilience of anonymity networks — essential privacy tools — to attacks by creating a reputation system inspired by control theory. I have also analyzed the extent to which traditional password-based systems are vulnerable to the problem of password-reuse, and have been involved in designing a novel social profile-aware password strength meter. Recently, I have been working on analyzing the security and privacy risks of connecting IoT devices and services through automation frameworks. Furthermore, I have been leading the development of a novel privacy-aware infrastructure capable of providing notice and choice to end users under different IoT scenarios.


Current Projects

Past Projects


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Technical Report:




FlowComb: Boosting Big Data Processing with OpenFlow Application US 20140064066


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Professional Experiences

Research Teaching Internships/Co-ops

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