Add to GMail
Protecting Human Users from Misused AI
11:40 AM to 12:40 PM
CSB 451 CS Auditorium
Ben Y. Zhao, University of Chicago
CS Distinguished Lecture Series - Ben Y. Zhao
Abstract:
Recent developments in machine learning and artificial intelligence have taken nearly everyone by surprise. The arrival of arguably the most transformative wave of AI did not bring us smart cities full of self-driving cars, or robots that do our laundry and mow our lawns. Instead, it brought us over-confident token predictors that hallucinate, deepfake generators that produce realistic images and video, and ubiquitous surveillance. In this talk, I’ll describe some of our recent efforts to warn, and later defend against some of the darker side of AI. In particular, I will tell the story of how our efforts to disrupt unauthorized facial recognition models led unexpectedly to Glaze, a tool to defend human artists against art mimicry by generative image models. I will share some of the ups and downs of implementing and deploying an adversarial ML tool to a global user base, and reflect on mistakes and lessons learned.
Bio:
Ben Zhao is Neubauer Professor of Computer Science at University of Chicago. He completed his Ph.D. at U.C. Berkeley (2004), and B.S. from Yale (1997). He is a Fellow of the ACM, and a recipient of the NSF CAREER award, MIT Technology Review's TR-35 Award (Young Innovators Under 35), USENIX Internet Defense Prize, ComputerWorld Magazine's Top 40 Tech Innovators award, IEEE ITC Early Career Award, and Faculty awards from Google, Amazon, and Facebook. His work has been covered by media outlets including New York Times, CNN, NBC, BBC, MIT Tech Review, Wall Street Journal, Forbes, and New Scientist. He has published over 180 articles in areas of security and privacy, machine learning, networking, and HCI. He served as TPC (co-)chair for the World Wide Web conference (WWW 2016) and ACM Internet Measurement Conference (IMC 2018). He also serves on the steering committee for HotNets.
Coffee and Questions
2:00 PM to 4:00 PM
CSB 452
Coffee and Questions will be a recurring social event for current CS students to speak with each other and the CS Advising team in the CS Lounge (CSB 452). Light refreshments will be provided, with occasional faculty/ departmental guests in attendance.
Next-Generation Domain-Specific Accelerators: From Hardware to System
2:30 PM to 3:30 PM
CS conference room (CSB453)
Sophia Shao, UC Berkeley
Abstract:
In the era of diminishing returns from technology scaling, domain-specific accelerators have become a key component in today’s computing platforms. The natural evolution of this trend will lead to an increasing volume and diversity of accelerators for emerging applications such as machine learning, robotics, data centers, and many more. However, today’s accelerators are largely designed in isolation, with little consideration of how they interact with software and other components, leading to suboptimal end-to-end performance.
In this talk, I will discuss the challenges and opportunities associated with the design of next-generation domain-specific systems. Specifically, I will describe our group's recent work on domain-specific accelerator design, integration, and simulation, with the goal of democratizing accelerated computing for all applications. The results of our endeavors indicate a future in which domain-specific systems can be thoroughly designed, integrated, and evaluated to achieve high efficiency across different applications.
Bio:
Professor Sophia Shao is an Assistant Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. Previously, she was a Senior Research Scientist at NVIDIA and received her Ph.D. degree in 2016 from Harvard University. Her research interests are in the area of computer architecture, with a special focus on domain-specific architecture, deep-learning accelerators, and high-productivity hardware design methodology. Her work has been awarded a Distinguished Artifact Award at ISCA’2023, the Best Paper Award at DAC’2021, the Best Paper Award at JSSC’2020, a Best Paper Award at MICRO’2019, a Research Highlight of Communications of ACM (2021), Top Picks in Computer Architecture (2014), and Honorable Mentions (2019*2). She is a
recipient of an NSF CAREER Award, the 2022 IEEE TCCA Young Computer Architect Award, an Intel Rising Star Faculty Award, a Google Research Scholar Award, and the inaugural Dr. Sudhakar Yalamanchili Award. Her personal webpage is https://people.eecs.berkeley.edu/~ysshao/.
Coffee and Questions
2:00 PM to 4:00 PM
CSB 452
Coffee and Questions will be a recurring social event for current CS students to speak with each other and the CS Advising team in the CS Lounge (CSB 452). Light refreshments will be provided, with occasional faculty/ departmental guests in attendance.
Add to GMail