Cover Image

AVEC: Bootstrapping Privacy for Local LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Gaikwad, Madhava
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence 68Q25, 68T50, 68P27 F.2.2; I.2.7; K.4.1
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AlignDP: Hybrid Differential Privacy with Rarity-Aware Protection for LLMs
by: Gaikwad, Madhava
Published: (2025)

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs
by: Bahar, Atmane Ayoub Mansour, et al.
Published: (2024)

Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs
by: Brown, Nik Bear
Published: (2024)

On-Device Generative AI for GDPR-Compliant Visual Monitoring: Natural Language Alerts from Local Object Detection
by: Schappacher-Tilp, Gudrun, et al.
Published: (2026)

How Few-shot Demonstrations Affect Prompt-based Defenses Against LLM Jailbreak Attacks
by: Wang, Yanshu, et al.
Published: (2026)

Murphys Laws of AI Alignment: Why the Gap Always Wins
by: Gaikwad, Madhava
Published: (2025)

Separate Before You Compress: The WWHO Tokenization Architecture
by: Darshana, Kusal
Published: (2026)

Exploiting Web Search Tools of AI Agents for Data Exfiltration
by: Rall, Dennis, et al.
Published: (2025)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)

Dark LLMs: The Growing Threat of Unaligned AI Models
by: Fire, Michael, et al.
Published: (2025)

Anonymization-Enhanced Privacy Protection for Mobile GUI Agents: Available but Invisible
by: Zhao, Lepeng, et al.
Published: (2026)

Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities
by: Cao, Lele
Published: (2025)

Approaching I/O-optimality for Approximate Attention
by: Papp, Pál András, et al.
Published: (2026)

Digital Forgetting in Large Language Models: A Survey of Unlearning Methods
by: Blanco-Justicia, Alberto, et al.
Published: (2024)

When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels
by: Gautam, Sushant, et al.
Published: (2026)

Proof-Carrying Certificates for LLM Pipelines: A Trust-Boundary Architecture
by: Koomullil, George
Published: (2026)

X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange
by: Sengupta, Poushali, et al.
Published: (2026)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation
by: Basit, Abdul, et al.
Published: (2025)

Aligning LLMs for Multilingual Consistency in Enterprise Applications
by: Agarwal, Amit, et al.
Published: (2025)

Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks
by: Merves, Tyler H., et al.
Published: (2026)

A Method for Quantifying Human Risk and a Blueprint for LLM Integration
by: Canale, Giuseppe
Published: (2025)

AgentLeak: A Full-Stack Benchmark for Privacy Leakage in Multi-Agent LLM Systems
by: Yagoubi, Faouzi El, et al.
Published: (2026)

Beyond Human Judgment: A Bayesian Evaluation of LLMs' Moral Values Understanding
by: Skorski, Maciej, et al.
Published: (2025)

ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs
by: Han, Pengrui, et al.
Published: (2024)

NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge
by: Alam, Firoj, et al.
Published: (2025)

Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents
by: Basu, Abhinaba
Published: (2026)

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
by: Khan, Koffka
Published: (2025)

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages
by: Alam, Firoj, et al.
Published: (2026)

PropXplain: Can LLMs Enable Explainable Propaganda Detection?
by: Hasanain, Maram, et al.
Published: (2025)

Can Watermarked LLMs be Identified by Users via Crafted Prompts?
by: Liu, Aiwei, et al.
Published: (2024)

TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking
by: Nahin, Shahriar Kabir, et al.
Published: (2025)

BreakFun: Jailbreaking LLMs via Schema Exploitation
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering
by: Stantchev, Vladimir
Published: (2026)

Enhancing Privacy in Federated Learning through Quantum Teleportation Integration
by: Khan, Koffka
Published: (2024)

Seeing Hate Differently: Hate Subspace Modeling for Culture-Aware Hate Speech Detection
by: Cai, Weibin, et al.
Published: (2025)

Attention Meets Reachability: Structural Equivalence and Efficiency in Grammar-Constrained LLM Decoding
by: Alpay, Faruk, et al.
Published: (2026)

LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking
by: Dalvi, Fahim, et al.
Published: (2023)

AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
by: Mousi, Basel, et al.
Published: (2024)

NativQA: Multilingual Culturally-Aligned Natural Query for LLMs
by: Hasan, Md. Arid, et al.
Published: (2024)

Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs
by: Alam, Firoj, et al.
Published: (2024)