News in Last 12 Months
Apr 2020: Talks at Web Conf 2020I'll give 2 talks at Web 2020 in Taiwan, a keynote at IID workshop and invited talk at Future of Web track
Feb 2020: Talks at EdConI'm speaking to 600+ IL judges on AI/ML and the law
Jan 2020: IMC 2020 TPC
Jan 2020: Huiying wins Facebook Fellowship!Congrats to Huiying Li!
Jan 2020: SciTechDaily articleon our NDSS paper on adversarial location via WiFi reflection
Dec 2019: CHI paper on Wearable Ultrasonic JammersCongrats Huiying, Yuxin, Shan-Yuan!
Dec 2019: CHI paper on Gender BiasCongrats Jenna, Shiliang & Xinyi!
Nov 2019: Distinguished lecture at KAUST
Oct 2019: Huiying gives first talk @CCS!
Oct 2019: Huiying & Emily roadtripw/ talk @ Stanford & visit to Berkeley!
Sept 2019: Distinguished lecture at EPFL
Aug 2019: NDSS paper on adversarial sensingCongrats to Yanzi, Zhujun, Yuxin, Zhijing and Max!
Aug 2019: DARPA grant on evaluating adversarial ML attacks
Aug 2019: NSF grant on spectrum anomaly detectionNew project led by Heather
July 2019: Congrats to Dr. Yanzi ZhuOff to join the AR/VR team at Google. Good luck!
July 2019: Latent backdoor paper at CCSCongrats Kevin and Huiying!
July 2019: interview for CNBCArticle on AI/ML and fake news
June 2019: Senior TPC, WSDM 2019
June 2019: Congrats to our new PhDsXinyi Zhang, Shiliang Tang, and Zhijing Li! Good luck at Facebook!
June 2019: Gave fun talk to Chicago Bar Associationon advances in ML & implications on the law
May 2019: Article in UChicago Magazineon online privacy & our research
May 2019: UChicago news about our backdoor work
May 2019: Congrats to Xinyifor her SIGCOMM paper on network management!
Apr 2019: Congrats to Gang WangSAND Lab alumnus who just joined UIUC CS as Assistant Professor!
Mar 2019: Congrats to Zhijing, Zhujunon their MobiHoc paper
Feb 2019: Congrats to SAND Lab alumnus Prof. Christo Wilson, Sloan Fellow 2019!!
Feb 2019: Recorded episode on UChicago Big Brains Podcast
Feb 2019: IMC 2019 TPC
Lab: 377 Crerar
Office: 369 Crerar
5730 S. Ellis Ave,
University of Chicago
Chicago, IL 60637
Travel/Deadlines (UChicago Calendar)
CFP: Jan 20, CCS
Feb 6, EdCon, Rosemont
CFP: Feb 15, USENIX Security
CFP: March 5 IEEE S&P
April 4: Midwest Security
April 20-23: WWW IID keynote + FWeb invited talk, Taiwan
April 25: CHI, Honolulu HI
I am a Neubauer Professor of Computer Science at University of Chicago.
Over the years, I've followed my own interests in pursuing research
problems that I find intellectually interesting and meaningful. That's led me to
work on a sequence of areas from P2P networks, online social networks, SDR/open spectrum systems, graph mining
and modeling, user behavior analysis, to adversarial machine learning. Since 2016,
I've mostly worked on security and privacy problems in machine learning and mobile systems.
My meandering interests have led me to publish at a range of top
conferences, including Usenix Security/Oakland/CCS, IMC/WWW, CHI/CSCW, and Mobicom/SIGCOMM/NSDI. Here's a wordle of my
paper abstracts from 2017-2019.
Together with Prof. Heather Zheng, I co-direct the SAND Lab (Systems, Algorithms, Networking and Data) at University of Chicago. I received my PhD in Computer Science from UC Berkeley in 2004, where I was advised by John Kubiatowicz and Anthony Joseph, and created the Tapestry distributed hash table (dissertation). I received my MS from Berkeley in 2000, and my BS in computer science from Yale in 1997. I am an ACM Distinguished Scientist, a recipient of the NSF CAREER award (2005), MIT Tech Review's TR-35 Award (Young Innovators Under 35) (2006), IEEE Internet Technical Committee's Early Career Award (2014), and one of ComputerWorld's Top 40 Technology Innovators under 40. My papers have somewhere around 27,000 citations and an H-index of 65 (for whatever that's worth). In some of my "free time," I write about research and PhD life on Quora.
Spring 2019: Tu/Th 12:30-1:50PM, TBD, CS35401-2: Topics Seminar - Adversarial Machine Learning
Reading seminar on adversarial machine learning, primarily designed for PhD and MS students interested on research in this space. We will meet twice a week, and students will lead discussions on papers ranging from adversarial examples to poison, black-box, surrogate model attacks. We can cover both empirical papers from the security community as well as those from core ML conferences.
Press/Media: A collection of recent news and media coverage of our research.
Neural Cleanse: detecting/mitigating backdoors in DNNs, Code/Paper
I'm always looking for bright PhD students!!
I'm always interested in self-driven/passionate students who want to work on high impact projects and have fun doing it. UChicago is a fantastic place to do a PhD, and we're constantly making improvements to the lab and the department. To find out a bit more about me as an advisor, and my views on everything from students to research and the meaning of life, you can read some of my posts on Quora, where I've been "Top Writer" since 2014. To get on a short list of names Heather and I will look for when reviewing applications, please fill out a basic form. This is better than email. I read all my emails. But due to the volume of emails, I am often unable to reply to individual emails.
UChicago Undergraduates interested in research?
We generally advise 3-5 undergraduates in my lab in active research (we're now quite full for 2020). If you're interested in working in my lab as an undergrad, drop me an email. Generally speaking, the best way to join my lab as an undergrad is to take and do well in my courses in networking or applied ML.