Security Seminar

Abstract not available

Abstract not available

In the seminar, Dr Ben Collier will introduce the new book, Tor: From the Dark Web to the Future of Privacy (MIT Press, 2024). *SPEAKERS* * Chair: Prof Alice Hutchings * Speaker 1: Dr Ben Collier * Speaker 2: Professor Steven Murdoch 5:00pm, 26th April 2024 LT2 - William Gates Building 15 JJ Thomson Avenue, Cambridge, CB3...

Abstract not available

This talk will cover trends in the current cybersecurity and privacy legal environment that apply to digital, marketing, & smart settings. As technologists and organizations work on digital & smart innovations using emerging technologies that are poised to change the way we interact with goods and each other, legal...

Large language models (LLMs) can "lie", which we define as outputting false statements despite "knowing" the truth in a demonstrable sense. LLMs might "lie", for example, when instructed to output misinformation. Here, we develop a simple lie detector that requires neither access to the LLM's activations (black-box) nor...

This talk introduces Mysticeti a byzantine consensus protocol with low-latency and high resource efficiency. It leverages a DAG based on Threshold Clocks and incorporates innovations in pipelining and multiple leaders to reduce latency in the steady state and under crash failures. Mysticeti is the first byzantine protocol...

Blockchains have motivated a surge of research and development into succinct probabilistic proofs. As proof constructions have gotten dramatically more efficient, entirely new applications have become feasible in other areas as well. This talk will discuss two proposed applications in the area of network security. First...

In this talk, I will first review three decades of research in the field of password-authenticated key exchange (PAKE). PAKE protocols can be categorized into two types: balanced and augmented schemes. I will share my experience of designing a balanced PAKE called J-PAKE in 2008 (joint work with Ryan). Today, J-PAKE has...

The talk presents open problems in the study of machine unlearning. The need for machine unlearning, i.e., obtaining a model one would get without training on a subset of data, arises from privacy legislation and as a potential solution to data poisoning or copyright claims. The first part of the talk discusses approaches...