Mike Lambert

According to our database, Mike Lambert authored at least 7 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam S. Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul F. Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez

CoRR, 2024

2021

Securing CHEESEHub: A Cloud-based, Containerized Cybersecurity Education Platform.

Mike Lambert, Rajesh Kalyanam, Rob Kooper, Baijian Yang

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

2019

CHEESE: Cyber Human Ecosystem of Engaged Security Education.

Baijian Yang, Rajesh Kalyanam, Craig Willis, Mike Lambert, Christine R. Kirkpatrick

Proceedings of the 20th Annual SIG Conference on Information Technology Education, 2019

2017

Container-based Analysis Environments for Low-Barrier Access to Research Data.

Craig Willis, Mike Lambert, Kenton McHenry, Christine R. Kirkpatrick

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

2014

PaperDude: a virtual reality cycling exergame.

John Bolton, Mike Lambert, Denis Lirette, Ben Unsworth

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2011

A novel ontological approach to semantic interoperability between legacy air defence command and control systems.

Chris Partridge, Mike Lambert, Mike Loneragan, Andrew Mitchell, Pawel Garbacz

Int. J. Intell. Def. Support Syst., 2011

2010

The YouTube video recommendation system.

James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010