cigitalgem, to random
@cigitalgem@sigmoid.social avatar

Proud to serve as an Advisor to Calypso AI, made real.

It's not just a job, it's a wardrobe.

cigitalgem, to ML
@cigitalgem@sigmoid.social avatar

Bergen Machine Learning Security talk in ten minutes. See you there?

image/jpeg

cigitalgem, to ML
@cigitalgem@sigmoid.social avatar

Re-up in preparation for Monday's talk in Bergen, Norway.

Have a listen to the episode of the Google Cloud Security Podcast, featuring me.

EP150 Taming the AI Beast: Threat Modeling for Modern AI Systems with Gary McGraw

https://berryvilleiml.com/2024/01/25/google-cloud-security-podcast-features-biml/

seniorfrosk, to random Norwegian
@seniorfrosk@snabelen.no avatar

Always a pleasure to watch @cigitalgem in action - with a sprinkling of

cigitalgem, (edited ) to llm
@cigitalgem@sigmoid.social avatar

I am giving a Machine Learning Security talk in Bergen, Norway Monday 22.4. The scandanavian tour's last and final stop.

I will be discussing security risks and the new BIML results. Please join us.

Thanks for your help spreading the word.

https://www.lyyti.fi/reg/CDR-NO-22-04-2024

cigitalgem, to infosec
@cigitalgem@sigmoid.social avatar

Thanks Stockholm. The breakfast seminar on was good. Next up is OSLO tomorrow morning (THURSDAY). If you are in Norway, please come join me!

I will also briefly cover machine learning security

https://www.lyyti.fi/reg/CDR-NO-18-04-2024

cigitalgem, to infosec
@cigitalgem@sigmoid.social avatar

Software Security Seminar in Stockholm TOMORROW 17.4

Please join me for an early morning breakfast seminar on (with some thrown in for good measure). Build security in.

Register here https://www.lyyti.fi/reg/CDR-SV-17-04-2024

Thank you in advance for passing this on to dev types you know in Sweden. Please boost for reach.

cigitalgem, to ML
@cigitalgem@sigmoid.social avatar

BIML back in the saddle this week via video. Discussing the combination of GAs and LLMs.

cigitalgem, (edited ) to ML
@cigitalgem@sigmoid.social avatar
cigitalgem, to random
@cigitalgem@sigmoid.social avatar

Proof of work.

Also me at IU

cigitalgem, to llm
@cigitalgem@sigmoid.social avatar

T minus 30 minutes to my IU talk in Bloomington.

https://spice.luddy.indiana.edu/garymcgrawtalk/

cigitalgem, to llm
@cigitalgem@sigmoid.social avatar

I am giving a talk @indianauniv in Bloomington THIS FRIDAY. I will cover security risks (that is ) identified by BIML. Open to the public.

https://spice.luddy.indiana.edu/garymcgrawtalk/

seniorfrosk, to random
@seniorfrosk@snabelen.no avatar
cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://arxiv.org/pdf/2303.09859.pdf

Trained on 100 million words and still in shape:
BERT meets British National Corpus

David Samuel et al

Efficient language learning with better data. Data versus computer. This dataset is 140,000 times smaller than GPT4's dataset.

https://berryvilleiml.com/references/

cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://dl.acm.org/doi/pdf/10.1145/3446776

Understanding Deep Learning
(Still) Requires Rethinking
Generalization

Chityuan Zhang, et al

Cool set of basic experiments probing generalization. Still no real insight.

https://berryvilleiml.com/references/

cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://arxiv.org/pdf/2401.08565.pdf

Tuning Language Models by Proxy

Alisa Liu et al

Pulling fine-tuning out of the black box to make it cheaper. Very much inside baseball (badly described and motivated). Clearly no cognitive science background. Technically very interesting.

https://berryvilleiml.com/references/

cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://arxiv.org/pdf/1706.03741.pdf

Deep Reinforcement Learning
from Human Preferences

Paul Christiano et al.

Reinforcement Learning with human defined partial goals. Step 2 of LLM creation. Economic tradeoff. Humans cheaper than machine. Alignment.

https://berryvilleiml.com/references/

cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://arxiv.org/pdf/2201.11903.pdf

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Google: Jason Wei et al.

Credulous use of anthropomorphic language to describe association chains. Very few actual trials = anecdotal work.

https://berryvilleiml.com/references/

cigitalgem, (edited ) to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://arxiv.org/pdf/2206.07682.pdf

Emergent Abilities of Large Language Models

Google: Jason Wei et al.

Non-standard definition of emergence (a proxy for surprize) makes this paper very misleading from a cognitive perspective. The benchmarks are an anthropomorphic mess.

https://berryvilleiml.com/references/

cigitalgem, (edited ) to random
@cigitalgem@sigmoid.social avatar

REVISED BIML Bibliography entry

https://arxiv.org/pdf/2001.08361.pdf

Scaling Laws for Neural Language Models

OpenAI: Kaplan et al

Easy, straightforward paper, seminal in the scaling literature. We revisited this one after four years. The only issue missing is any notion of data quality (vs data set size). Cardinality of compute and data is a good start.

https://berryvilleiml.com/references/

cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://arxiv.org/pdf/2401.05300.pdf

I am a Strange Dataset: Metalinguistic Tests for Language Models

Tristan Thrush, et al

This is a toy paper. Why not focus on EASY and ERRORS instead of trying too hard to be clever? This paper ends up being just silly.

https://berryvilleiml.com/references/

cigitalgem, to random
@cigitalgem@sigmoid.social avatar

NEW BIML Bibliography entry

https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2023.pdf

NIST: Adversarial Machine Learning

Apolstol Vassilev, et al

Laundry list of attacks without a very useful taxonomy. Spotty terminology. Suggests that pen testing is a good paradigm for solution. We found this one so problematic that we wrote it up on the blog. (https://berryvilleiml.com/2024/01/23/another-round-of-adversarial-machine-learning-from-nist/)

https://berryvilleiml.com/references/

cigitalgem, to infosec
@cigitalgem@sigmoid.social avatar

I am giving two breakfast seminars back to back mid-April. If you are in Sweden, Norway or Finland, please consider coming. Pass it on to those who may be interested.

STOCKHOLM 17.4 https://www.lyyti.fi/reg/CDR-SV-17-04-2024

OSLO 18.4 https://www.lyyti.fi/reg/CDR-NO-18-04-2024

cigitalgem, to llm
@cigitalgem@sigmoid.social avatar

I am giving a talk @indianauniv in Bloomington THIS FRIDAY. I will cover security risks (that is ) identified by BIML. Open to the public.

https://spice.luddy.indiana.edu/garymcgrawtalk/

picture

cigitalgem,
@cigitalgem@sigmoid.social avatar

My talk @indianauniv this Friday will be directly based on this study that BIML published 1.24.24

https://berryvilleiml.com/results/BIML-LLM24.pdf

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