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nomadicsynth
notsahil's profile picture GoHugo's profile picture Baruka6's profile picture
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AI & ML interests

architecture research, knowledge discovery

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upvoted an article 26 days ago
Rank-Stabilized LoRA: Unlocking the Potential of LoRA Fine-Tuning
reacted to scthornton's post with 👍 about 1 month ago
# SecureCode: Security-Aware Code Models **A collection of 8 code models (3B–20B) trained to behave like a security reviewer.** ## The Problem Code assistants frequently recommend patterns that pass tests but fail security review—string-built SQL, brittle auth logic, unsafe parsing, insecure defaults, and more. I built SecureCode to address this gap. ## What SecureCode Does - **Identify vulnerable patterns** and explain why they're risky - **Outline plausible abuse paths** (defensive framing) - **Propose secure rewrites** (drop-in replacements where possible) - **Include defense-in-depth guidance** + regression tests/checks ## Resources | Resource | Link | |----------|------| | Models | https://huggingface.co/collections/scthornton/securecode | | Dataset | https://huggingface.co/datasets/scthornton/securecode (2,185 examples) | | Paper | https://arxiv.org/abs/2512.18542 | ## How to Test It Copy and paste this prompt with your code: ``` You are a senior application security engineer. Review the code below. Output: (1) findings with severity, (2) likely exploit scenarios (high level), (3) secure rewrite, (4) defense-in-depth recommendations, (5) regression tests/checks. Code: `...` ``` ## Dataset Coverage SecureCode covers both traditional and emerging security domains: - **Traditional web security** (OWASP Top 10 2021) - **AI/ML security** (OWASP LLM Top 10 2025): prompt injection, RAG poisoning, model extraction, agentic AI patterns ## We Want Your Feedback We're looking for real-world contributions: - **Real snippets**: Share code that "slipped through review once" (sanitized is fine) - **False positives/negatives**: What didn't work as expected? - **CVE-grounded examples**: New vulnerability patterns you've encountered **Please include**: language/framework + what the correct remediation looks like in your environment. --- **Have contributions or suggestions?** I'd be happy to hear them. Thanks for your support!
replied to telcom's post about 1 month ago
A simple resume Q/A app https://huggingface.co/spaces/telcom/ResumeQA I watched this "Stop Competing With 400 Applicants. Build This in One Weekend (Yes, there's a no code option too! " https://youtu.be/0teZqotpqT8?si=L2Vf0xrZ6_t7K7-D and later also saw a post https://huggingface.co/posts/ZennyKenny/848353801795401 Inspired me to do a simple space. Feel free to use it.
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