VibeBuild Atlas

What People Build While Vibe Coding

Repo detail

Trustworthy-AI-Group/Adversarial_Examples_Papers

A list of recent papers about adversarial learning

298Updated 1/30/2026View on GitHub

Extracted labels

Project type: Other

Idea patterns: Not sure / Other

Scope: MVP

Audience: Public users

AI tools: Other

Confidence 0.90

Why these labels

  • Aggregates recent research papers
  • Addresses the lack of a reliable resource
  • Encourages community contributions

Commit activity (sampled)

Commits sampled

100

Active days

95

Build span

168 days

Median gap

1 days

First commit

8/15/2025

Latest commit

1/30/2026

README keyword snippets

in LLMs](https://arxiv.org/abs/2512.03310) Kunj Joshi, David A. Smith + [Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks](h
Ipek Sena Yilmaz, Onur G. Tuncer, Zeynep E. Aksoy, Zeynep Yağmur Baydemir + [ChatGPT: Excellent Paper! Accept It. Editor: Imposter Found! Review Rejected](https://a
apira, Roi Reichart, Moshe Tennenholtz + [Building Production-Ready Probes For Gemini](https://arxiv.org/abs/2601.11516) János Kramár, Joshua Engels, Zheng Wang, B
Sarker, Zaber Ibn Abdul Hakim, Chris Thomas + [MPF-Net: Exposing High-Fidelity AI-Generated Video Forgeries via Hierarchical Manifold Deviation and Micro-Temporal Fluctuat