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@Graspan @UH-SERG

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aftabhussain/README.md

Current Focus

Advancing the capabilities, robustness, and reliability of AI systems across domains.

Recent Activity

  • openai/evals - Enhancing Transparency and Auditability in Human-Based Evaluations. Submitted feature request for adding an optional explain mode to HumanCliSolver (a solver used as a human baseline and debugging tool for OpenAI Evals) that clearly shows task context, prompt construction, and what gets logged at runtime. Improved visibility makes evaluations easier to understand, audit, and reproduce—without changing default behavior. Learn more...

  • google-deepmind/gemma - Cache Visualization & Memory Profiling for Gemma Inference. Added a cache reporting layer to the T5Gemma Sampler, enabling visibility into cache allocation and approximate memory usage. Learn more...

  • run-llama/llama_index - Semantic Deduplication Proposal. Suggested a scalable semantic-duplicate filtering strategy using embeddings vector similarity for increasing diversity in generated datasets for strengthening downstream tasks. Learn more...

Pinned Loading

  1. FMViz FMViz Public

    Visualizing tests generated in AFL during fuzzing

    Python 7 1

  2. catboost-code-rag catboost-code-rag Public

    A prototype RAG system that explains CatBoost code in housing data use-cases.

    Python

  3. Trojan-signatures-in-Code-LLMs Trojan-signatures-in-Code-LLMs Public

    Investigating lightweight approaches for trojan detection in code models using only model parameters.

    Shell

  4. UH-SERG/oseql-trojan-identification-experiments UH-SERG/oseql-trojan-identification-experiments Public

    Code-focused LLMs can be compromised by poisoned training data, producing attacker-controlled outputs when hidden triggers appear. OSeql detects a class of these trojan triggers with near-100% reca…

    Python

  5. quantized-code-llm-security quantized-code-llm-security Public

    Security analysis of quantized Llama-2 and CodeLlama models for code generation.

    Python