Cover Image

Log Probability Tracking of LLM APIs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chauvin, Timothée, Merrer, Erwan Le, Taïani, François, Tredan, Gilles
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Token-Efficient Change Detection in LLM APIs
by: Chauvin, Timothée, et al.
Published: (2026)

Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
by: Godinot, Augustin, et al.
Published: (2024)

eyeballvul: a future-proof benchmark for vulnerability detection in the wild
by: Chauvin, Timothee
Published: (2024)

Under manipulations, are some AI models harder to audit?
by: Godinot, Augustin, et al.
Published: (2024)

Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
by: Davies, Xander, et al.
Published: (2025)

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs
by: Liu, Ruixuan, et al.
Published: (2026)

CacheProbe: Auditing Prompt Cache Isolation in Gateway APIs
by: Fahey, Ryan
Published: (2026)

Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
by: Wang, Ziyao, et al.
Published: (2025)

Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs
by: Cai, Will, et al.
Published: (2025)

Auditing Prompt Caching in Language Model APIs
by: Gu, Chenchen, et al.
Published: (2025)

KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis
by: Cohen, Omri Sgan, et al.
Published: (2025)

Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content
by: Pandey, Rohan, et al.
Published: (2026)

Trained Random Forests Completely Reveal your Dataset
by: Ferry, Julien, et al.
Published: (2024)

Anomaly Detection in Certificate Transparency Logs
by: Ostertág, Richard, et al.
Published: (2024)

Anomaly Detection in OKTA Logs using Autoencoders
by: Cain, Jericho, et al.
Published: (2024)

Releasing Differentially Private Event Logs Using Generative Models
by: Wangelik, Frederik, et al.
Published: (2025)

Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
by: Bourrée, Jade Garcia, et al.
Published: (2023)

A Novel GPT-Based Framework for Anomaly Detection in System Logs
by: Zhang, Zeng, et al.
Published: (2025)

Generation of Human Comprehensible Access Control Policies from Audit Logs
by: Kumar, Gautam, et al.
Published: (2026)

Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
by: Wang, Shuzhan, et al.
Published: (2024)

CBD: A Certified Backdoor Detector Based on Local Dominant Probability
by: Xiang, Zhen, et al.
Published: (2023)

Cloud Security Leveraging AI: A Fusion-Based AISOC for Malware and Log Behaviour Detection
by: Okonkwo, Nnamdi Philip, et al.
Published: (2025)

Clip Body and Tail Separately: High Probability Guarantees for DPSGD with Heavy Tails
by: Sha, Haichao, et al.
Published: (2024)

OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs
by: Aly, Ahmed, et al.
Published: (2025)

RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises
by: Li, Chenyu, et al.
Published: (2025)

Differentially Private Log-Location-Scale Regression Using Functional Mechanism
by: Sheng, Jiewen, et al.
Published: (2024)

Co-RedTeam: Orchestrated Security Discovery and Exploitation with LLM Agents
by: He, Pengfei, et al.
Published: (2026)

LogGuardQ: A Cognitive-Enhanced Reinforcement Learning Framework for Cybersecurity Anomaly Detection in Security Logs
by: de Sousa, Umberto Gonçalves
Published: (2025)

WaKA: Data Attribution using K-Nearest Neighbors and Membership Privacy Principles
by: Mesana, Patrick, et al.
Published: (2024)

Differentially Private Synthetic Data via Foundation Model APIs 1: Images
by: Lin, Zinan, et al.
Published: (2023)

RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection
by: Caliskan, Busra, et al.
Published: (2026)

MongoDB Injection Query Classification Model using MongoDB Log files as Training Data
by: Perni, Shaunak, et al.
Published: (2026)

Rerouting LLM Routers
by: Shafran, Avital, et al.
Published: (2025)

AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System
by: Ahmed, Chuadhry Mujeeb
Published: (2025)

Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
by: Ly, Timothée, et al.
Published: (2024)

The poison of dimensionality
by: Hoang, Lê-Nguyên
Published: (2024)

Wavelet-Aware Anomaly Detection in Multi-Channel User Logs via Deviation Modulation and Resolution-Adaptive Attention
by: Kong, Kaichuan, et al.
Published: (2026)

Encryption-Friendly LLM Architecture
by: Rho, Donghwan, et al.
Published: (2024)

Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model
by: Lin, Zinan, et al.
Published: (2025)

Is The Watermarking Of LLM-Generated Code Robust?
by: Suresh, Tarun, et al.
Published: (2024)