Alignment, Trust, Watermarking, and Copyright Issues in LLMs

Program

Special Year on Large Language Models and Transformers, Part 1

Location

Calvin lab auditorium

Date

Monday, Oct. 14 – Thursday, Oct. 17, 2024

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All talks listed in Pacific Time. Schedule subject to change.

9:15 – 9:40 a.m.

Coffee and Check-In

9:40 – 9:45 a.m.

Opening Remarks

9:45 – 10:30 a.m.

Private Retrieval-Augmented Generation

Raluca Popa (UC Berkeley)

10:30 – 11 a.m.

Break

11 – 11:45 a.m.

Scalable Extraction of Training Data from (Production) Language Models

Nicholas Carlini (Google DeepMind)

11:45 a.m. – 12:30 p.m.

Differentially private synthetic data for private LLM training

Andreas Terzis (Google Deep Mind)

12:30 – 2 p.m.

Lunch (on your own)

2 – 2:45 p.m.

Defense against prompt injection attacks

David Wagner (UC Berkeley)

2:45 – 3 p.m.

Break

3 – 3:45 p.m.

From Risk to Resilience: Risk Assessment, Safety Alignment, and Guardrails for Foundation Models

Bo Li (University of Illinois at Urbana–Champaign)

4 – 5 p.m.

Panel Discussion: AI Safety Regulation

Scott Aaronson (UT Austin & OpenAI), Dan Hendrycks (Center for AI Safety), Ion Stoica (UC Berkeley), Martin Casado (a16z), Joseph Gonzalez (UC Berkeley)

9:15 – 9:45 a.m.

Coffee and Check-In

9:45 – 10:30 a.m.

Interactive Proofs, Debate, and AI Safety

Jonah Brown-Cohen (Google DeepMind)

10:30 – 11 a.m.

Break

11 – 11:45 a.m.

Prover-Verifier Games Improve Legibility of LLM outputs

Yining Chen (Open AI)

11:45 a.m. – 12:30 p.m.

Models that prove their own correctness

Orr Paradise (UC Berkeley)

12:30 – 2:15 p.m.

Lunch (on your own)

2:15 – 3 p.m.

On Mitigating Backdoors

Jonathan Shafer (MIT)

3 – 3:15 p.m.

Break

3:15 – 4 p.m.

Formal backdoor detection games and deceptive alignment

Jacob Hilton (Alignment Research Center)

4 – 5 p.m.

Reception

9:15 – 9:45 a.m.

Coffee and Check-In

9:45 – 10:30 a.m.

Jacob Steinhardt (UC Berkeley)

10:30 – 11 a.m.

Break

11 – 11:45 a.m.

Beyond Preferences in AI Alignment: Towards Richer Models of Human Reasons and Decisions

Tan Zhi Xuan (MIT)

11:45 a.m. – 12:30 p.m.

12:30 – 2 p.m.

Lunch (on your own)

2 – 2:45 p.m.

Veridical Data Science and Alignment in Medical AI

Bin Yu (UC Berkeley)

2:45 – 3 p.m.

Break

3 – 3:45 p.m.

What should we align with?

Frauke Kreuter (LMU Munich and University of Maryland)

3:45 – 4:30 p.m.

9 – 9:30 a.m.

Coffee and Check-In

9:30 – 9:45 a.m.

Watermarking: where to?

Scott Aaronson (UT Austin)

9:45 – 10:30 a.m.

Pseudorandom Error-Correcting Codes with Applications to Watermarking Generative AI

Miranda Christ (Columbia University)

10:30 – 11 a.m.

Break

11 – 11:45 a.m.

Edit Distance Robust Watermarks: beyond substitution channels

Noah Golowich (MIT)

11:45 a.m. – 12:30 p.m.

Distortion Free Watermarks

Rohith Kuditipudi (Stanford University)

12:30 – 2 p.m.

Lunch (on your own)

2:15 – 3 p.m.

Will Copyright Derail Generative AI Technologies?

Pam Samuelson (UC Berkeley)

3 – 3:15 p.m.

Break

3:15 – 4 p.m.

Open Technical Questions in Generative AI Copyright

Yangsibo Huang (Google)

4 – 5 p.m.

Panel Discussion: Will AI make us stupid and if not, how not?

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