ASSET Seminar: “Towards Improving the Reliability of AI: Perspectives from Uncertainty Quantification and Fairness”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Abstract: Artificial intelligence holds enormous promise to automate our life. At the same time, AI systems can be incredibly brittle, unreliable, and biased. In this talk, I will present a few approaches towards making AI more reliable, trustworthy, and fair, drawing on recent work on uncertainty quantification and algorithmic fairness. Specifically, I will discuss how to […]

CIS Seminar: “Decentralized Mechanism Design: Cryptography Meets Game Theory”

Wu & Chen Auditorium

In classical auction design, we take it for granted that the auctioneer is trusted and always implements the auction's rules honestly. This assumption, however, no longer holds in modern auctions based on blockchains, or those mediated by third-party platforms such as Google. For example, in blockchain-based auctions, the consensus nodes that partly act as the […]

ASSET Seminar: “Efficient Sharing of AI Infrastructures with Specialized Serverless Computing”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Abstract: The efficient sharing of AI infrastructures is becoming increasingly important in both public and private data centers. This demand is driven by two key factors: the proliferation of specialized AI models tailored for different users and applications, and the highly dynamic nature of requests, which are often on-demand. Dedicated GPU allocation in such scenarios […]

CIS Seminar: “Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines”

Wu & Chen Auditorium

Scalable and efficient machine learning (ML) systems have been instrumental in fueling recent advancements in ML capabilities. However, further scaling these systems requires more than simply increasing the number and performance of accelerators. This is because modern ML deployments rely on complex pipelines composed of many diverse and interconnected systems.  In this talk, I will […]

ASSET Seminar: “Steering Machine Learning Ecosystems of Interacting Agents”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Abstract:  Modern machine learning models—such as LLMs and recommender systems—interact with humans, companies, and other models in a broader ecosystem. However, these multi-agent interactions often induce unintended ecosystem-level outcomes such as clickbait in classical content recommendation ecosystems, and more recently, safety violations and market concentration in nascent LLM ecosystems. In this talk, I discuss my […]

IDEAS/STAT Optimization Seminar

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Zoom link: https://upenn.zoom.us/j/98843354016

CIS Seminar: “Leveraging the Wisdom of Clouds for Internet Security”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Over the past decade, networked systems have consolidated under just a handful of hyperscale cloud providers (e.g., AWS, Azure). While this offers logistical and economic advantages, attackers specifically target providers and their customers, a shift that has left traditional network vantage points blind to the most sophisticated adversaries. In this talk, I’ll explore how we […]

ASSET Seminar: “Beyond Scaling: Frontiers of Retrieval-Augmented Language Models”

Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

Abstract: Large Language Models (LMs) have demonstrated remarkable capabilities by scaling up training data and model sizes. However, they continue to face critical challenges, including hallucinations and outdated knowledge, which particularly limit their reliability in expert domains such as scientific research and software development. In this talk, I will urge the necessity of moving beyond […]