INTCC: A Framework for Interactive Confidential Computing

arXiv:2609.35552 · cs.CR · Submitted 2026-09-28 · Read on arXiv

cs.CR

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/metallama/llama3

Terminology

• Trace — 32× in this paper · explained in 2 episodes
• Fine-Tuning — 24× in this paper · explained in 5 episodes
• Verification — 9× in this paper · explained in 2 episodes
• Core — 8× in this paper · explained in 2 episodes
• Human-in-the-Loop — 7× in this paper · explained in 3 episodes
• Security and Privacy — 7× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Verifier — 5× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Differential Privacy — 4× in this paper · explained in 4 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Amortization — 3× in this paper · explained in 1 episode
• Large Language Model — 3× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Computer and Communications Security — 2× in this paper
• Decoupling — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• In Network and Distributed System Security — 2× in this paper
• Trusted Computing Base — 2× in this paper
• AMD Secure Encrypted Virtualization — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cloud Service Provider — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Differentially Private — 1× in this paper · explained in 3 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Introspection — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Lines of Code — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Mean Squared Error — 1× in this paper
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transaction Processing Performance Council — 1× in this paper
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Diffprivlib: The IBM Differential Privacy Library
• Instruction Tuning with GPT-4
• Control-Flow Attestation: Concepts, Solutions, and Open Challenges
• Qwen3 Technical Report

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