Cover Image

TensorCommitments: A Lightweight Verifiable Inference for Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baser, Oguzhan, Sadeghi, Elahe, Wang, Eric, Alves, David Ribeiro, Kazemian, Sam, Kang, Hong, Chinchali, Sandeep P., Vishwanath, Sriram
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures
by: Baser, Oguzhan, et al.
Published: (2024)

PhonemeFake: Redefining Deepfake Realism with Language-Driven Segmental Manipulation and Adaptive Bilevel Detection
by: Baser, Oguzhan, et al.
Published: (2025)

EigenAI: Deterministic Inference, Verifiable Results
by: Alves, David Ribeiro, et al.
Published: (2026)

Cryptanalysis on Lightweight Verifiable Homomorphic Encryption
by: Cheon, Jung Hee, et al.
Published: (2025)

VeriLLM: A Lightweight Framework for Publicly Verifiable Decentralized Inference
by: Wang, Ke, et al.
Published: (2025)

SONNI: Secure Oblivious Neural Network Inference
by: Sperling, Luke, et al.
Published: (2025)

TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
by: Sun, Tong, et al.
Published: (2025)

BioZero: Privacy-Preserving and Publicly Verifiable On-Chain Biometric Authentication via Homomorphic Commitments and Zero-Knowledge Proofs
by: Lin, Zibin, et al.
Published: (2024)

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference
by: Wang, Tzu-Shen, et al.
Published: (2025)

Neighborhood Blending: A Lightweight Inference-Time Defense Against Membership Inference Attacks
by: Zafar, Osama, et al.
Published: (2026)

WavShape: Information-Theoretic Speech Representation Learning for Fair and Privacy-Aware Audio Processing
by: Baser, Oguzhan, et al.
Published: (2025)

VIGIL: Defending LLM Agents Against Tool Stream Injection via Verify-Before-Commit
by: Lin, Junda, et al.
Published: (2026)

Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models
by: Sinha, Yash, et al.
Published: (2025)

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
by: Heiding, Fred, et al.
Published: (2024)

The Variant of Designated Verifier Signature Scheme with Message Recovery
by: Huang, Hong-Sheng, et al.
Published: (2024)

Optimistic TEE-Rollups: A Hybrid Architecture for Scalable and Verifiable Generative AI Inference on Blockchain
by: Chan, Aaron, et al.
Published: (2025)

Vector Commitments with Efficient Updates
by: Tas, Ertem Nusret, et al.
Published: (2023)

SOCpilot: Verifying Policy Compliance for LLM-Assisted Incident Response
by: Barbieri, Sidnei, et al.
Published: (2026)

Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?
by: Nguyen, Huu Hung, et al.
Published: (2025)

A Commitment-based Authentication model for Key Exchange protocols
by: Sánchez-Ledesma, Rodrigo Martín, et al.
Published: (2023)

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models
by: Luan, Xiaokun, et al.
Published: (2026)

Privacy-Preserving Verifiable Neural Network Inference Service
by: Riasi, Arman, et al.
Published: (2024)

Zero-Knowledge Proof Based Verifiable Inference of Models
by: Wang, Yunxiao
Published: (2025)

Verifying LLM Inference to Detect Model Weight Exfiltration
by: Rinberg, Roy, et al.
Published: (2025)

Practical Type Inference: High-Throughput Recovery of Real-World Structures and Function Signatures
by: Seidel, Lukas, et al.
Published: (2026)

Commitment Schemes for Multi-Party Computation
by: Ionescu, Ioan, et al.
Published: (2025)

Commitment Attacks on Ethereum's Reward Mechanism
by: Sarenche, Roozbeh, et al.
Published: (2024)

Time-Delayed Publicly Verifiable Quantum Computation for Classical Verifiers
by: Mohammed, Ameer, et al.
Published: (2026)

Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
by: Pal, Arka, et al.
Published: (2026)

Private, Anonymous, Collateralizable Commitments vs. MEV
by: McMenamin, Conor, et al.
Published: (2023)

Verifiable Differential Privacy
by: Biswas, Ari, et al.
Published: (2022)

Relevance as a Vulnerability: How Web Retrieval Degrades Safety Alignment in LLM Agents
by: Nawal, Aditya, et al.
Published: (2026)

Lightweight Dataset for Decoy Development to Improve IoT Security
by: Weissman, David, et al.
Published: (2024)

MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs)
by: Saha, Bikash, et al.
Published: (2025)

Artemis: Efficient Commit-and-Prove SNARKs for zkML
by: Lycklama, Hidde, et al.
Published: (2024)

Decentralized Biometric Authentication based on Fuzzy Commitments and Blockchain
by: Alzahab, Nibras Abo, et al.
Published: (2024)

Jolt Atlas: Verifiable Inference via Lookup Arguments in Zero Knowledge
by: Benno, Wyatt, et al.
Published: (2026)

EM-MIAs: Enhancing Membership Inference Attacks in Large Language Models through Ensemble Modeling
by: Song, Zichen, et al.
Published: (2024)

Verified Foundations for Differential Privacy
by: de Medeiros, Markus, et al.
Published: (2024)

Verifiable Privacy-Preserving Computing
by: Bontekoe, Tariq, et al.
Published: (2023)