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Sponsored by the Defense Advanced Research Projects Agency (DARPA), this workshop will bring together experts from academia, government, and private organizations to discuss ideas and share insights on the topics of safety, fairness, privacy, and transparency of Machine Learning algorithms and systems.
All presentations take place at the Calvin Lab auditorium.
Conrad Bell (DARPA), Dan Boneh (Stanford University), Kamalika Chaudhuri (UC San Diego), Rachel Cummings (Georgia Tech), Allan Dafoe (Yale University), Anupam Datta (Carnegie Mellon University), Sanjam Garg (UC Berkeley), Shafi Goldwasser (MIT), Moritz Hardt (UC Berkeley), Farinaz Koushanfar (UC San Diego), Tengyu Ma (Princeton University), Aleksander Mądry (MIT), Robert McFarland (DARPA), Ankur Moitra (MIT), Kobbi Nissim (Harvard University, Ben-Gurion University), Nicolas Papernot (Penn State University), Omer Reingold (Stanford University), Ben Rubinstein (University of Melbourne), Amit Sahai (UCLA), Hava Siegelmann (DARPA), Yaron Singer (Harvard University), Adam Smith (Penn State University), Dawn Song (UC Berkeley), Kunal Talwar (Google), Abhradeep Guha Thakurta (UC Santa Cruz), Florian Tramer (Stanford University), Vinod Vaikuntanathan (MIT), Greg Valiant (Stanford University), Gang Wang (Virginia Tech University), William Yang Wang (UC Santa Barbara), Stephen Wright (University of Wisconsin-Madison)