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Poster Session
Clement Canonne · Kwang-Sung Jun · Seth Neel · Di Wang · Giuseppe Vietri · Liwei Song · Jonathan Lebensold · Huanyu Zhang · Lovedeep Gondara · Ang Li · FatemehSadat Mireshghallah · Jinshuo Dong · Anand D Sarwate · Antti Koskela · Joonas Jälkö · Matt Kusner · Dingfan Chen · Mi Jung Park · Ashwin Machanavajjhala · Jayashree Kalpathy-Cramer · · Vitaly Feldman · Andrew Tomkins · Hai Phan · Hossein Esfandiari · Mimansa Jaiswal · Mrinank Sharma · Jeff Druce · Casey Meehan · Zhengli Zhao · Hsiang Hsu · Davis Railsback · Abraham Flaxman · · Julius Adebayo · Aleksandra Korolova · Jiaming Xu · Naoise Holohan · Samyadeep Basu · Matthew Joseph · My Thai · Xiaoqian Yang · Ellen Vitercik · Michael Hutchinson · Chenghong Wang · Gregory Yauney · Yuchao Tao · Chao Jin · Si Kai Lee · Audra McMillan · Rauf Izmailov · Jiayi Guo · Siddharth Swaroop · Tribhuvanesh Orekondy · Hadi Esmaeilzadeh · Kevin Procopio · Alkis Polyzotis · Jafar Mohammadi · Nitin Agrawal

Sat Dec 14 11:30 AM -- 12:30 PM (PST) @
in Privacy in Machine Learning (PriML) »

Author Information

Clement Canonne (Stanford University)
Kwang-Sung Jun (U of Arizona)
Seth Neel (University of Pennsylvania)

PhD student in statistics studying fairness and privacy in learning. Advised by Aaron Roth and Michael Kearns.

Di Wang (State University of New York at Buffalo)
Giuseppe Vietri (University of Minnesota)
Liwei Song (Princeton University)
Jonathan Lebensold (McGill University)
Huanyu Zhang (Cornell University)
Lovedeep Gondara (Simon Fraser University)
Ang Li (Duke University)
FatemehSadat Mireshghallah (University of California San Diego)
Jinshuo Dong (University of Pennsylvania)
Anand D Sarwate (Rutgers, The State University of New Jersey)
Antti Koskela (University of Helsinki)
Joonas Jälkö (Aalto University)
Matt Kusner (University of Oxford)
Dingfan Chen (cispa- Helmholtz Center for Information Security)
Mi Jung Park (MPI-IS Tuebingen)
Ashwin Machanavajjhala (Duke)
Jayashree Kalpathy-Cramer (MGH/Harvard Medical School)
Vitaly Feldman (Google Brain)
Andrew Tomkins (Google)
Hai Phan (New Jersey Institute of Technology)
Hossein Esfandiari (University of Maryland)
Mimansa Jaiswal (University of Michigan)

I am a 3rd year PhD student in computer science at University of Michigan. I work with natural language and speech processing for social application domain (affect, emotion, empathy). My work is mostly focussed on distribution robustness (domain variability, confounding variables, annotation paradigms), interpretation (error analysis, understanding why a model predicts a particular class, when is it successful/wrong?) and privacy & security (black box adversarial examples, mitigating demographic variable/membership leakage).

Mrinank Sharma (University of Oxford)
Jeff Druce (Charles River Analytics)
Casey Meehan (University of California, San Diego)
Zhengli Zhao (UCI, Google Brain)

Zhengli Zhao is a Computer Science PhD student at UC Irvine, concentrating on deep learning in natural language processing and computer vision.

Hsiang Hsu (Harvard University)

I am Hsiang Hsu, a Harvard Ph.D. student working with Flavio Calmon, and also a Meta Fellow. My research interests lie in promoting the interpretability of representations, improving privacy and fairness, and understanding prediction uncertainty in machine learning. I believe these are important issues in modern machine learning when trying to deploy the models in practice.

Davis Railsback (University of Washington)
Abraham Flaxman (University of Washington)
Julius Adebayo (MIT)
Aleksandra Korolova (University of Southern California)
Jiaming Xu (University of Illinois at Urbana Champaign)
Naoise Holohan (IBM Research - Ireland)
Samyadeep Basu (University of Maryland)
Matthew Joseph (University of Pennsylvania)
My Thai (University of Florida)
Xiaoqian Yang (Duke University)
Ellen Vitercik (Carnegie Mellon University)
Michael Hutchinson (University of Oxford)

Hi I'm Michael, a first year DPhil student at Oxford under the supervision of Yee Whye Teh and Max Welling. I'm interested in Probabalistic Machine Leanring in general, with a specific interests in distributed learning, generative modelling and uncertianty at a functional level.

Chenghong Wang (Duke University)
Gregory Yauney (Cornell University)
Yuchao Tao (Duke University)
Chao Jin (Institute for Infocomm Research, A*STAR)
Si Kai Lee (RIKEN AIP)
Audra McMillan (Northeastern/Boston University)
Rauf Izmailov (Perspecta Labs)
Jiayi Guo (Tsinghua University)
Siddharth Swaroop (University of Cambridge)
Tribhuvanesh Orekondy (Max Planck Institute for Informatics)
Hadi Esmaeilzadeh (University of California, San Diego)
Kevin Procopio (Charles River Analytics)
Alkis Polyzotis (Google)
Jafar Mohammadi (Nokia Bell Labs)

I am a researcher in Bell Labs in Stuttgart, Germany. My current research focus is on applications of machine learning in PHY and MAC communications layers. Before joining Nokia Bell Labs, I was a postdoctoral researcher at Rutgers university working on distributed machine learning problems with differential privacy. During his PhD I have worked on information theory and resource allocation optimisation problems for wireless communications.

Nitin Agrawal (University of Oxford)

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