Search Results for author: Joe Li

Found 3 papers, 1 papers with code

Automated Red Teaming with GOAT: the Generative Offensive Agent Tester

no code implementations2 Oct 2024 Maya Pavlova, Erik Brinkman, Krithika Iyer, Vitor Albiero, Joanna Bitton, Hailey Nguyen, Joe Li, Cristian Canton Ferrer, Ivan Evtimov, Aaron Grattafiori

Common users of AI models may not have advanced knowledge of adversarial machine learning methods or access to model internals, and they do not spend a lot of time crafting a single highly effective adversarial prompt.

Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array

1 code implementation25 Jan 2024 Michael Tomlinson, Joe Li, Andreas Andreou

Large language models (LLMs) have made headlines for synthesizing correct-sounding responses to a variety of prompts, including code generation.

Code Generation

A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study

no code implementations28 Aug 2023 Joe Li, Peter Washington

Objective: We aim to study the differences between personalized and generalized machine learning models for three-class emotion classification (neutral, stress, and amusement) using wearable biosignal data.

Classification Emotion Classification +1

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