Program

Hany Farid, UC Berkeley

Hany Farid is a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering & Computer Science and the School of Information. His research focuses on digital forensics, image analysis, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, his M.S. in Computer Science from SUNY Albany, and his Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, he joined the faculty at Dartmouth College in 1999 where he remained until 2019. He is the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and is a Fellow of the National Academy of Inventors.

Nasir Memon, Tandon School of Engineering, New York University

Nasir Memon received the B.E. degree in chemical engineering and the M.Sc. degree in mathematics from the Birla Institute of Technology and Science (BITS), Pilani, India, and the Ph.D. degree in computer science from The University of Nebraska–Lincoln. He is currently a Professor with the Department of Computer Science and Engineering, New York University Tandon School of Engineering. He was one of the Founding Directors of the Center for Cyber Security, a collaborative initiative of multiple schools within NYU. He is an IEEE fellow and a SPIE fellow. He has won several awards including the Jacobs Excellence in Education Award and several best paper awards. He has been on the Editorial Boards of several journals and was the Editor-in-Chief of the IEEE Transactions on Information Forensics and Security.

Tal Hassner, Facebook AI

Tal Hassner received his M.Sc. and Ph.D. degrees in applied mathematics and computer science from the Weizmann Institute of Science in 2002 and 2006, respectively. In 2008 he joined the Department of Math. and Computer Science at The Open Univ. of Israel where he is was a Associate Professor until 2018. From 2015 to 2018, he was a senior computer scientist at the Information Sciences Institute (ISI) and a Visiting Research Associate Professor at the Institute for Robotics and Intelligent Systems, Viterbi School of Engineering, both at USC, CA, USA. From 2018 to 2019, he is a Principal Applied Scientist at AWS where he designed the latest AWS face recognition pipelines. Since 2019 he is an Applied Research Lead at Facebook AI, supporting the text and people photo understanding teams.

Nicholas Carlini, Google Brain

Nicholas Carlini is a research scientist at Google Brain. He studies the security and privacy of machine learning, for which he has received best paper awards at IEEE S&P and ICML. He obtained his PhD from the University of California, Berkeley in 2018.

Nicholas Papernot, University of Toronto

Nicolas Papernot is an Assistant Professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Toronto. He is also a faculty member at the Vector Institute where he holds a Canada CIFAR AI Chair. His research interests span the security and privacy of machine learning. Nicolas received a best paper award at ICLR 2017. He is also the co-author of CleverHans, an open-source library widely adopted in the technical community to benchmark machine learning in adversarial settings, and TF Privacy, an open-source library for training differentially private models. He serves on the program committees of several conferences including ACM CCS, IEEE S&P, and USENIX Security. He earned his Ph.D. at the Pennsylvania State University, working with Prof. Patrick McDaniel and supported by a Google PhD Fellowship. Upon graduating, he spent a year as a research scientist at Google Brain in Úlfar Erlingsson's group.

Sam Gregory, Witness.com

Sam Gregory is Program Director of WITNESS (www.witness.org) which supports anyone, anywhere to use video and technology to fight for human rights. Founded after the Rodney King incident, WITNESS has worked for 25 years in 100+ countries, supporting critical uses of video to secure accountability, reaching millions of people with skills and tools, engaging technology giants on how their technology makes a difference, and maximizing civic participation via visual and social media.

An award-winning technologist and advocate Sam leads work around emerging opportunities and threats for activism and journalism including AI, malicious ‘deepfakes’, innovation in eyewitness video, and challenges to trust and evidence. He helped launch WITNESS’ Video as Evidence program and also supervises WITNESS’ Tech Advocacy work, which advocates to technology companies on how products protect human rights and develops tools such as ProofMode for better authentication of contentious video. He is Co-Chair of the Partnership on AI’s Working Group on Social and Societal Influence, and a member of the Technology Advisory Board of the ICC and WEF’s Global Future Council on Human Rights. He has spoken at Davos and the White House, was a 2012-17 Young Global Leader of the World Economic Forum, and from 2010-2018 taught the first graduate course at Harvard on participatory media and human rights.

Hao Li, Pinscreen/USC

Hao Li is CEO/Co-Founder of Pinscreen, Associate Professor of Computer Science at the University of Southern California, and the director of the Vision and Graphics Lab at the USC Institute for Creative Technologies. Hao's work in Computer Graphics and Computer Vision focuses on digitizing humans and capturing their performances for immersive communication, telepresence in virtual worlds, and entertainment. His research involves the development of novel deep learning, data-driven, and geometry processing algorithms.

He is known for his seminal work in avatar creation, facial animation, hair digitization, dynamic shape processing, as well as his recent efforts in preventing the spread of malicious deep fakes. He was previously a visiting professor at Weta Digital, a research lead at Industrial Light & Magic / Lucasfilm, and a postdoctoral fellow at Columbia and Princeton Universities. He was named top 35 innovator under 35 by MIT Technology Review in 2013 and was also awarded the Google Faculty Award, the Okawa Foundation Research Grant, as well as the Andrew and Erna Viterbi Early Career Chair. He won the Office of Naval Research (ONR) Young Investigator Award in 2018 and was named named to the DARPA ISAT Study Group in 2019. Hao obtained his PhD at ETH Zurich and his MSc at the University of Karlsruhe (TH).

Luisa Verdoliva, University Federico II of Naples

Luisa Verdoliva is Associate Professor at University Federico II of Naples (Italy). Her scientific interests are in the field of image and video processing, with main contributions in the areas of multimedia forensics, image biometrics, and restoration of remote sensing images. She is the Principal Investigator for the Research Unit of University Federico II of Naples in the DISPARITY (Digital, Semantic and Physical Analysis of Media Integrity) project funded by DARPA under the MEDIFOR program. Since 2017 She is Associate Editor for IEEE Transactions on Information Forensics and Security. This year she is General co-Chair of the ACM Workshop on Information Hiding and Multimedia Security and Technical Program Chair of the IEEE Workshop in Information Forensics and Security. She led her research group in several international contests, including the recent 2018 IEEE Signal Processing Cup on camera model identification (first prize) and the 2013 IEEE Image Forensics Challenge (first prize both in the detection and localization tasks).

Christian Theobalt, Max Plank Institute

Christian Theobalt is a professor of computer science and the head of the research group “Graphics, Vision, & Video”, Max-Planck-Institute for Informatics, Saarbruecken, Germany. He is also a professor with Saarland University. His research lies on the boundary between computer vision and computer graphics. For instance, he works on 4D scene reconstruction, marker-less motion and performance capture, machine learning for graphics and vision, and new sensors for 3D acquisition. He received several awards, for instance, the Otto Hahn Medal of the Max-Planck Society (2007), the EUROGRAPHICS Young Researcher Award (2009), the German Pattern Recognition Award (2012), an ERC Starting Grant (2013), and an ERC Consolidator Grant (2017). In 2015, he was elected one of Germany's top 40 innovators under 40 by the magazine Capital.