Amir Houmansadr Associate Professor
College of Information and Computer Sciences
University of Massachusetts Amherst
Office: 206 CS Building
E-mail: amir (at) cs.umass.edu [Public Key]
Online: Twitter, LinkedIn

Bio: I am an Associate Professor in computer science at UMass Amherst, where I joined in Fall'14 (tenured since Fall'19). I obtained my Ph.D. from the University of Illinois at Urbana-Champaign in 2012 and I was a postdoctoral scholar for two years at the University of Texas at Austin. Earlier, I received my M.Sc. and B.Sc. degrees from Sharif University of Technology. Research Area: My general area of research is network/AI security and privacy, and I am in particular actively investigating privacy-enhancing technologies and trustworthy AI. To that end, I design and deploy censorship circumvention systems, analyze network protocols and services (e.g., messaging apps and machine learning APIs) for privacy leakage, perform theoretical analysis to derive bounds on privacy (e.g., using game theory and information theory), and evaluate the security and privacy of emerging AI technologies.

Selected Awards

- DARPA Directors Award, 2024
- COLM Spotlight Paper, 2024
- Applied Networking Research Prize (ANRP), 2024
- ACM CCS Distinguished Paper Award, 2023
- First place at CSAW Applied Research Competition, 2023
- Best Practical Paper Award of the FOCI Community, 2023
- DARPA Young Faculty Award (YFA), 2022
- ACM IMC Best Paper Award Runner-Up, 2020
- CSAW Applied Research Competition Finalist, 2019
- NSF CAREER Award, 2016
- Google Faculty Research Award, 2015
- IEEE S&P Best Practical Paper Award, 2013

News!

- 12/01/2024: CensorLab, our censorship emulation testbed, is online!
- 10/05/2024: Interviewed by WBZ NewsRadio 1030 on online safety.
- 10/01/2024: Our COLM paper on LLM Prompt reproduction is selected as a Spotlight!
- 02/21/2024: Interviewed by MassLive on Russian WiFi malware.
- 01/12/2024: Our USENIX Security paper won a 2024 Applied Networking Research Prize (ANRP).
- 11/29/2023: Our CCS'23 paper received a Distinguished Paper Award!
- 11/11/2023: Our USENIX Security paper won the first place at CSAW 2023 Applied Research Competition.
- 07/10/2023: Our upcomming USENIX Security paper received the 2023 Best Practical Paper Award from the FOCI Community.
- 05/05/2023: Gave the Keynote Talk at ICLR BANDS 2023 Workshop.
- 04/01/2023: Served on a panel at Shasha Seminar for Human Concerns.
- 10/05/2022: Tech Crunch covers GFW Report's findings about TLS censorship.
- 08/11/2022: Received a DARPA Young Faculty Award (YFA).
- 07/29/2021: Two finalist proposals for Facebook Privacy-Enhancing Technologies.
- 12/10/2020: Check out my invited blog post on the use of ML for censorship circumvention.
- 10/27/2020: Best Paper Award Runner-up at ACM IMC'20.
- 09/01/2020: Interview with The Wire China on the recent developments of censorship techniques.
- 08/08/2020: ZDNet article on our collaborative study of ESNI censorship.
- 01/23/2020: Three papers accepted at NDSS'20!
- 11/01/2019: DeepCorr is a finalist at the CSAW’19 Applied Research Competition!
- 09/01/2019: Promoted to associate professor with tenure!
- 07/24/2018: Two papers accepted at ACM CCS'18!
- 05/30/2018: I had a TV interview on Net Neutrality!

Service

Technical Program Committee:
  • IEEE S&P 2016, 2017, 2018, 2020, 2021, 2025 (Associate Chair)
  • ACM IMC 2024
  • ACM CCS 2015, 2016, 2017, 2019, 2020, 2022, 2023, 2024
  • USENIX FOCI 2015, 2016 (co-chair), 2017, 2020, 2024, 2025
  • PETS 2014, 2015, 2016, 2018, 2019, 2020, 2023
  • NDSS 2017, 2018, 2019, 2020, 2021
  • USENIX Security 2021
  • ACSAC 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2022
Organizer:

Courses

   Fall'24: Advanced Information Assurance (CMPSCI 660)