Assistant Professor
Department of Computer Science
Virginia Tech

Google Scholar, CV

Contact
Email: vbimal at cs dot vt dot edu
GPG Public Key

2202 Kraft Drive
Knowledge Works II, RM 2227
Blacksburg, VA 24060
Phone: 540-231-8702

My research interests broadly cover security and privacy aspects of large online services. I am particularly interested in the emerging space at the intersection of machine learning and security. Three research directions include: (1) Attacks using ML: Investigating how recent developments in ML can be misused to abuse online services. (2) Attacks on ML systems: Understanding vulnerabilities of ML systems and improving robustness. (3) ML for better security/privacy: Leveraging advances in ML to build better defenses against attacks on online services.
I am a recipient of the Distinguished Paper Award (SOUPS 2014), Best Paper Award (COSN 2015), and the AI2000 Most Influential Scholar Award Honorable Mention for being among the top 100 most cited scholars in computer networking from 2009-2019.

I completed my Ph.D. in Computer Science at the Max Planck Institute for Software Systems where I was advised by Prof. Krishna P. Gummadi and Prof. Alan Mislove. Before joining VT, I spent ~2 years as a Postdoc in SAND lab (at UCSB and UChicago) working with Prof. Ben Y. Zhao. Prior to that, I spent a year as a Researcher at Nokia Bell Labs, Stuttgart.

We have open positions for PhD/MS. VT undergrads interested in research are also strongly encouraged. Feel free to reach out to me.

Latest Updates

January 2021: Teaching CS 5984 Security Analytics in Spring 2021. See course info for more details.
May 2020: Syllabus for CS4254 (Fall 2020) is here.
April 2020: Invited to TPCs of USENIX Security'21, NDSS'21, and ACSAC'20.
November 2019: Teaching CS 6604 Topics in Security and AI in Spring 2020. See course info for more details.

Students

I am delighted to work with the following fantastic students:
  • Jiameng Pu (PhD, started in 2018, published in IEEE S&P'20, IEEE EuroS&P'20, ACSAC'20, USENIX Security'21, WWW'21)
  • Connor Weeks (PhD, started in 2020)
  • Sifat Muhammad Abdullah (PhD, started in 2021)
  • Cristian Vives (MS, started in 2021)
  • Yusuf Elnady (MS, started in 2021 )
  • Kavya Sundaram (BS, started in 2020, published in WWW'21)
  • Abdullah Rehman (BS, started in 2020)
Alumni:
  • Steve T K Jan (Defended PhD dissertation in 2020, co-advised with Gang Wang, published in IEEE S&P'20)
  • Ibrahim Asadullah Tahmid (PhD, published in USENIX Security'21)
  • Ahmadreza Azizi (Defended MS dissertation in 2020, published in USENIX Security'21)
  • Tianrui Hu (Defended MS dissertation in 2020, co-advised with Gang Wang, published in IEEE S&P'20) -> Northeastern University PhD program
  • Yoonjin Kim (Research intern, summer 2020)
  • Neal Mangaokar (BS 2020, published in IEEE EuroS&P'20, ACSAC'20, USENIX Security'21, WWW'21) -> University of Michigan PhD program
  • Lauren Kelly (BS 2020, published in WWW'21) -> IT Software Engineer, University of North Florida

Publications

  • Embedding Code Contexts for Cryptographic API Suggestion: New Methodologies and Comparisons
    Ya Xiao, Salman Ahmed, Wenjia Song, Xinyang Ge, Bimal Viswanath, and Danfeng (Daphne) Yao
    Arxiv, March 2021
    PDF (arxiv)

  • Deepfake Videos in the Wild: Analysis and Detection
    Jiameng Pu (co-lead), Neal Mangaokar (co-lead), Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, and Bimal Viswanath
    WWW'21, Ljubljana, Slovenia, April 2021
    PDF (arxiv) Dataset (deepfake dataset to be released) To Appear

  • T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
    Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy and Bimal Viswanath
    USENIX Security'21, Vancouver, B.C., Canada, August 2021
    PDF (arxiv) Code (to be released) To Appear

  • NoiseScope: Detecting Deepfake Images in a Blind Setting
    Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, and Bimal Viswanath
    ACSAC'20, Online, December 2020 (To Appear)
    PDF BIBTEX Video Code

  • Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
    Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, and Bimal Viswanath
    IEEE EuroS&P 2020, Online, September 2020
    PDF BIBTEX Video

  • Throwing Darts in the Dark? Detecting Bots with Limited Data using Neural Data Augmentation
    Steve T.K. Jan, Qingying Hao, Tianrui Hu, Jiameng Pu, Sonal Oswal, Gang Wang, and Bimal Viswanath
    IEEE S&P (Oakland) 2020, Online, May 2020
    PDF BIBTEX

  • What Happens After You Leak Your Password: Understanding Credential Sharing on Phishing Sites
    Peng Peng, Chao Xu, Luke Quinn, Hang Hu, Bimal Viswanath, and Gang Wang
    ASIACCS 2019, Auckland, New Zealand, July 2019
    PDF BIBTEX

  • Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao
    IEEE S&P (Oakland) 2019, San Francisco, CA, USA, May 2019
    PDF BIBTEX Code

  • With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning
    Bolun Wang, Yuanshun Yao, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao
    USENIX Security 2018, Baltimore, MD, USA, August 2018
    PDF BIBTEX Code

  • I Spy with My Little Eye: Analysis and Detection of Spying Browser Extensions
    Anupama Aggarwal, Bimal Viswanath, Liang Zhang, Saravana Kumar, Ayush Shah, and Ponnurangam Kumaraguru
    IEEE EuroS&P 2018, London, UK, April 2018
    PDF BIBTEX

  • Towards Reliable Application Deployment in the Cloud
    Ruichuan Chen, Istemi Ekin Akkus, Bimal Viswanath, Ivica Rimac and Volker Hilt
    CoNEXT 2017, Seoul, South Korea, December 2017
    PDF BIBTEX

  • Sieve: Actionable Insights from Monitored Metrics in Distributed Systems
    Jörg Thalheim, Antonio Rodrigues, Istemi Ekin Akkus, Pramod Bhatotia, Ruichuan Chen, Bimal Viswanath, Lei Jiao, Christof Fetzer
    Middleware 2017, Las Vegas, NV, USA, December 2017
    PDF BIBTEX Website Technical report

  • Complexity vs. Performance: Empirical Analysis of Machine Learning as a Service
    Yuanshun Yao, Zhujun Xiao, Bolun Wang, Bimal Viswanath, Haitao Zheng and Ben Y. Zhao
    IMC 2017, London, UK, November 2017
    PDF BIBTEX

  • Automated Crowdturfing Attacks and Defenses in Online Review Systems
    Yuanshun Yao, Bimal Viswanath, Jenna Cryan, Haitao Zheng and Ben Y. Zhao
    CCS 2017, Dallas, TX, USA, October 2017
    PDF BIBTEX

  • Strengthening Weak Identities Through Inter-Domain Trust Transfer
    Giridhari Venkatadri, Oana Goga, Changtao Zhong, Bimal Viswanath, Krishna P. Gummadi and Nishanth Sastry
    WWW 2016, Montreal, Canada, April 2016
    PDF BIBTEX

  • Strength in Numbers: Robust Tamper Detection in Crowd Computations
    Bimal Viswanath, M. Ahmad Bashir, M. Bilal Zafar, Simon Bouget, Saikat Guha, Krishna P. Gummadi, Aniket Kate, and Alan Mislove
    COSN 2015, Stanford University, CA, USA, November 2015
    PDF BIBTEX Best Paper Award

  • Towards Detecting Anomalous User Behavior in Online Social Networks
    Bimal Viswanath, Muhammad Ahmad Bashir, Mark Crovella, Saikat Guha, Krishna P. Gummadi, Balachander Krishnamurthy and Alan Mislove
    USENIX Security 2014, San Diego, CA, USA, August 2014
    PDF BIBTEX

  • Understanding and Specifying Social Access Control Lists
    Mainack Mondal, Yabing Liu, Bimal Viswanath, Krishna P. Gummadi and Alan Mislove
    SOUPS 2014, Menlo Park, CA, USA, July 2014
    PDF BIBTEX Distinguished Paper Award

  • Defending Against Large-scale Crawls in Online Social Networks
    Mainack Mondal, Bimal Viswanath, Allen Clement, Peter Druschel, Krishna P. Gummadi, Alan Mislove, and Ansley Post
    CoNEXT 2012, Nice, France, December 2012
    PDF BIBTEX

  • Keeping Information Safe from Social Networking Apps
    Bimal Viswanath, Emre Kıcıman, and Stefan Saroiu
    WOSN 2012, Helsinki, Finland, August 2012
    PDF BIBTEX

  • Canal: Scaling Social Network-based Sybil Tolerance Schemes
    Bimal Viswanath, Mainack Mondal, Krishna P. Gummadi, Alan Mislove, and Ansley Post
    EuroSys 2012, Bern, Switzerland, April 2012
    PDF BIBTEX

  • Understanding and Combating Link Farming in the Twitter Social Network
    Saptarshi Ghosh (co-primary author), Bimal Viswanath (co-primary author), Farshad Kooti, Naveen Kumar Sharma, Korlam Gautam, Fabricio Benevenuto, Niloy Ganguly, and Krishna P. Gummadi
    WWW 2012, Lyon, France, April 2012
    PDF BIBTEX

  • Exploring the Design Space of Social Network-based Sybil Defenses (Invited Paper)
    Bimal Viswanath, Mainack Mondal, Allen Clement, Peter Druschel, Krishna P. Gummadi, Alan Mislove, and Ansley Post
    COMSNETS 2012, Bangalore, India, January 2012
    PDF BIBTEX

  • Sharing Social Content from Home: A Measurement-driven Feasibility Study
    Massimiliano Marcon, Bimal Viswanath, Meeyoung Cha, and Krishna P. Gummadi
    NOSSDAV 2011, Vancouver, Canada, June 2011
    PDF BIBTEX

  • An Analysis of Social Network-based Sybil Defenses
    Bimal Viswanath, Ansley Post, Krishna P. Gummadi, and Alan Mislove
    SIGCOMM 2010, New Delhi, India, August 2010
    PDF BIBTEX

  • You Are Who You Know: Inferring User Profiles in Online Social Networks
    Alan Mislove, Bimal Viswanath, Krishna P. Gummadi, and Peter Druschel
    WSDM 2010, New York, NY, USA, February 2010
    PDF BIBTEX

  • On the Evolution of User Interaction in Facebook
    Bimal Viswanath, Alan Mislove, Meeyoung Cha, and Krishna P. Gummadi
    WOSN 2009, Barcelona, Spain, August 2009
    PDF Original PDF (with Errata) Errata Note BIBTEX

Teaching

  • CS6604: Topics in Security and AI
    Virginia Tech, Spring 2020.
  • CS5984: Security Analytics
    Virginia Tech, Spring 2019, Spring 2021.
  • CS4254: Network Architecture & Programming
    Virginia Tech, Fall 2018, Fall 2019, Fall 2020.

Selected News

  • Towards Detecting Anomalous User Behavior in Online Social Networks (Usenix Security 2014)
  • Understanding and combating link farming in the Twitter social network (WWW 2012)