toxicity
trivy
toxicity | trivy | |
---|---|---|
11 | 83 | |
166 | 21,388 | |
0.0% | 1.9% | |
0.0 | 9.8 | |
almost 2 years ago | 5 days ago | |
Go | ||
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
toxicity
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Perhaps It Is a Bad Thing That the Leading AI Companies Cannot Control Their AIs
I'm a PM at a human data company (https://www.surgehq.ai) that helps the large language model companies ensure their models are safe (we're the “clever prompt engineers” who helped Redwood assess their model performance).
We actually just published a blog today that includes our perspective on building “AI red teams” and best practices for AI alignment/safety: https://www.surgehq.ai/blog/ai-red-teams-for-adversarial-tra...
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30% of Google's Emotions Dataset Is Mislabeled
I'd love to chat. Want to reach out to the email in my profile? I'm the founder of a much higher-quality data startup (https://www.surgehq.ai), and previously built the human computation platforms at a couple FAANGs.
We work with a lot of the top AI/NLP companies and research labs, and do both the "typical" data labeling work (sentiment analysis, text categorization, etc), but also a lot more advanced stuff (e.g., training coding assistants, evaluating the new wave of large language models, adversarial labeling, etc -- so not just distinguishing cats and dogs, but rather making full use of the power of the human mind!).
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Building a No-Code Toxicity Classifier – By Talking to GitHub Copilot
> Rather than operating under a strict definition of toxicity, we asked our team to identify comments that they personally found toxic.
[0]: https://github.com/surge-ai/toxicity
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Ask HN: Who is hiring? (January 2022)
Love language? So do we, and our mission is to infuse AI with that same love. At Surge, we're building the human infrastructure to power NLP — from detecting hate speech, to parsing complex documents, to injecting human values into the next wave of language models. Our first product is a platform that helps ML teams create amazing, human-powered datasets to train AI in the richness of language. We're a team of former Google, Facebook, and Airbnb engineering leads, and we work with top companies at the forefront of machine learning. Our tech stack is Ruby on Rails, React, and Python. We’re rapidly growing, and we're looking for full-stack engineers to join the team and develop our product. To apply, please email [email protected] with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too!
More information: https://www.surgehq.ai/about#careers
A blog post explaining the problems we are working to solve: https://www.surgehq.ai/blog/the-ai-bottleneck-high-quality-h...
- The Toxicity Dataset – building the largest free dataset of online toxicity
- [Free] The Toxicity Dataset — building the world's largest free dataset of online toxicity [Github]
- The Toxicity Dataset — building the world's largest free dataset of online toxicity
- The Toxicity Dataset (1000 social media comments) — any ideas for interesting visualizations? [github]
- The Toxicity Dataset - free dataset of online toxicity (Github) - could be used for interesting portfolio projects
- The Toxicity Dataset — free dataset of online toxicity (Github)
trivy
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Cloud Security and Resilience: DevSecOps Tools and Practices
4. Trivy: https://github.com/aquasecurity/trivy Trivy is a versatile tool that scans for vulnerabilities in your containers, and also checks for vulnerabilities in your application dependencies.
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A Deep Dive Into Terraform Static Code Analysis Tools: Features and Comparisons
Trivy Owner/Maintainer: Aqua Security Age: First released on GitHub on May 7th, 2019 License: Apache License 2.0 backward-compatible with tfsec
- Suas imagens de container não estão seguras!
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General Docker Troubleshooting, Best Practices & Where to Go From Here
Trivy. A Simple and Comprehensive Vulnerability Scanner for Containers.
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Distroless images using melange and apko
Using Trivy:
- Friends - needs help choosing solution for SBOM vulnerability
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An Overview of Kubernetes Security Projects at KubeCon Europe 2023
Trivy is a mature and comprehensive open source tool from Aqua Security that supports scanning multiple sources, from file systems to containers and VMs. Trivy also looks beyond vulnerabilities, to scan licenses, secrets, infrastructure as code misconfiguration, and more.
- Best vulnerability scanner for DevOps
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About Cloudflare Tunnels
I would suggest to think about the thread model that you are facing so you can have a better mental model of the weak points of your environment. The very very big majority of these attacks will be automated probing for publicly known vulnerabilities or default credentials. That means the maintainers of the software you are running and the channels on which their updates are shipped to you and deployed are very important factors. For software that is not installed from a trusted and well maintained source (e.g. Ubuntus main repository), you want to make extra sure that vulnerabilities are updated. E.g. your deployed docker containers might contain security issues, you can run checks on these with tools like trivy. The same is also true for appliances, in case your router or firewall contains a software vulnerability, how will you be notified and how will the required updates be deployed?
- Docker image vulnerabilities scanning trivy vs synk.io
What are some alternatives?
hate-speech-and-offensive-language - Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
snyk - Snyk CLI scans and monitors your projects for security vulnerabilities. [Moved to: https://github.com/snyk/cli]
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
grype - A vulnerability scanner for container images and filesystems
zotero - Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.
clair - Vulnerability Static Analysis for Containers
Fleet - Open-source platform for IT, security, and infrastructure teams. (Linux, macOS, Chrome, Windows, cloud, data center)
checkov - Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
syft - CLI tool and library for generating a Software Bill of Materials from container images and filesystems
datapane - Build and share data reports in 100% Python
falco - Cloud Native Runtime Security