Concise summaries of key papers in responsible AI.
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Updated
Jun 30, 2024 - Python
Concise summaries of key papers in responsible AI.
An AI-driven solution for enhancing safety at construction sites. Utilises YOLOv8 for object detection to identify overhead hazards like heavy loads and steel pipes. Alerts are triggered if personnel are detected beneath these hazards. Dataset sourced from Taiwan's construction industry.
[Arxiv 2024] Adversarial Attacks on Multimodal Agents
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Jetson nano to warn that a pedestrian crossing without a traffic signal is near
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
A discord bot that shares commission scammer ban lists
Build accurate and secure AI applications to unlock value faster
High-Level Property Specification Language
[ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
Python package to apply the Safety Checker from Stable Diffusion.
Security audit Python project dependencies against security advisory databases.
A project (LLM Sentinel) that showcases NVIDIA's NeMo-Guardrails and LangChain for improving LLM safety
FAA Preliminary Aviation Accident and Incident Data from August 10, 2021 forward
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
Open-source vulnerability disclosure and bug bounty program database
Unofficial pdf/epub of the content of "re:Work" from Google Inc. Pdf/epub can be found here: https://github.com/daniperez/rework/releases
A multi-formalism, multi-solution model-checker centered on the language GAL
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