CIS Seminar: “Software Security Challenges in the Era of Modern Hardware”
Today’s hardware cannot keep secrets. Indeed, the past two decades have seen the discovery of a slew of attacks where an adversary exploits hardware features to leak software’s sensitive data. These attacks […]
CIS Seminar: “Proofs, Cryptography and Quantum Information”
Many cryptographic protocols will be rendered insecure if sufficiently powerful quantum computers are built. While this remains at least a few decades away, there is another, more immediate, problem: many […]
Joseph Bordogna Forum: Dr. Gary May, Chancellor of UC-Davis
Please save the date to join us for this annual distinguished lecture. The Joseph Bordogna Forum will foster conversation and debate regarding important issues at the nexus of technology and […]
ASSET Seminar: Neurosymbolic Programming for Science, Swarat Chaudhuri (University of Texas at Austin)
PRESENTATION ABSTRACT: Neurosymbolic programming (NSP) is an emerging area of computing that bridges the fields of deep learning and program synthesis. Like in classical machine learning, the goal here is to […]
ASSET Seminar: , Dinesh Jayaraman (University of Pennsylvania)
ABSTRACT: An important goal of the field sensorimotor robot learning is to do away with cumbersome expertise-intensive task specification, so that general-purpose robots of the future might learn large numbers […]
ASSET Seminar: Decision-Aware Learning for Global Health Supply Chains, Osbert Bastani (University of Pennsylvania)
Abstract: Machine learning algorithms are increasingly used in conjunction with optimization to guide decision making. A key challenge is aligning the machine learning loss with the decision-making loss. Existing solutions […]
ASSET Seminar: Using Large Language Models to Build Explainable Classifiers, Chris Callison-Burch (University of Pennsylvania)
ABSTRACT: I’ll present research on using large language models (LLMs) to build explainable classifiers. I will show off work from my PhD students and collaborators on several recent research […]
ASSET Seminar: The marriage of logic and learning: will it be a happily ever after?, Jyotirmoy Deshmukh (University of Southern California)
Presentation Abstract: Huge strides have made in the widespread adoption of autonomous and human-in-the-loop cyber-physical systems (CPS), partly fueled by dramatic improvements in learning-based techniques. An important aspect of such […]
ASSET Seminar: What makes learning to control easy or hard?, Nikolai Matni (University of Pennsylvania)
Presentation Abstract: Designing autonomous systems that are simultaneously high-performing, adaptive, and provably safe remains an open problem. In this talk, we will argue that in order to meet this goal, […]
ASSET Seminar: Domain Adaptation Under Causally Structured Distribution Shifts, Zachary Lipton (Carnegie Mellon University)
Presentation Abstract: Faced with unlabeled data in deployment that is sampled from a different distribution than that which generated the training data, all bets are off. Moreover, while numerous heuristics […]