Cover Image

On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pichler, Georg, Romanelli, Marco, Manivannan, Divya Prakash, Krishnamurthy, Prashanth, Khorrami, Farshad, Garg, Siddharth
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Real-Time Multi-Modal Subcomponent-Level Measurements for Trustworthy System Monitoring and Malware Detection
by: Khorrami, Farshad, et al.
Published: (2025)

Enabling Deep Visibility into VxWorks-Based Embedded Controllers in Cyber-Physical Systems for Anomaly Detection
by: Krishnamurthy, Prashanth, et al.
Published: (2025)

SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions
by: Bhandari, Jitendra, et al.
Published: (2024)

SCAMPER -- Synchrophasor Covert chAnnel for Malicious and Protective ERrands
by: Krishnamurthy, Prashanth, et al.
Published: (2025)

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
by: Shao, Minghao, et al.
Published: (2024)

Optimal Zero-Shot Detector for Multi-Armed Attacks
by: Granese, Federica, et al.
Published: (2024)

Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark
by: Shao, Minghao, et al.
Published: (2025)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
by: Shao, Minghao, et al.
Published: (2025)

D-CIPHER: Dynamic Collaborative Intelligent Multi-Agent System with Planner and Heterogeneous Executors for Offensive Security
by: Udeshi, Meet, et al.
Published: (2025)

SHIELD: A Host-Independent Framework for Ransomware Detection using Deep Filesystem Features
by: Raz, Md, et al.
Published: (2025)

SaMOSA: Sandbox for Malware Orchestration and Side-Channel Analysis
by: Udeshi, Meet, et al.
Published: (2025)

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
by: Li, Wei, et al.
Published: (2024)

Backdoor Detection through Replicated Execution of Outsourced Training
by: Jia, Hengrui, et al.
Published: (2025)

Fast and Lightweight Backdoor Detection via Head Random Probing
by: Yu, Yinbo, et al.
Published: (2026)

Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
by: Jean, Abile, et al.
Published: (2026)

Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
by: Høyheim, Eirik, et al.
Published: (2026)

OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
by: Jiang, Haoyu, et al.
Published: (2023)

CTFExplorer: Evaluating LLM Offensive Agents Through Multi-Target Web CTF Benchmarking
by: Rani, Nanda, et al.
Published: (2026)

Taming Data Challenges in ML-based Security Tasks Using Generative AI
by: Kanchi, Shravya, et al.
Published: (2025)

Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses
by: Pawlak, Stanisław, et al.
Published: (2025)

TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)

SPICED: Syntactical Bug and Trojan Pattern Identification in A/MS Circuits using LLM-Enhanced Detection
by: Chaudhuri, Jayeeta, et al.
Published: (2024)

Backdoor Graph Condensation
by: Wu, Jiahao, et al.
Published: (2024)

Unlearn to Relearn Backdoors: Deferred Backdoor Functionality Attacks on Deep Learning Models
by: Shin, Jeongjin, et al.
Published: (2024)

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
by: Pal, Soumyadeep, et al.
Published: (2024)

Ransomware 3.0: Self-Composing and LLM-Orchestrated
by: Raz, Md, et al.
Published: (2025)

Safeguarding LLMs Against Misuse and AI-Driven Malware Using Steganographic Canaries
by: Raz, Md, et al.
Published: (2026)

Backdoor defense, learnability and obfuscation
by: Christiano, Paul, et al.
Published: (2024)

How to Backdoor the Knowledge Distillation
by: Wu, Chen, et al.
Published: (2025)

Heterogeneous Graph Backdoor Attack
by: Chen, Jiawei, et al.
Published: (2025)

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection
by: Sabbah, Ahmed, et al.
Published: (2025)

REMaQE: Reverse Engineering Math Equations from Executables
by: Udeshi, Meet, et al.
Published: (2023)

Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
by: Boisvert, Léo, et al.
Published: (2025)

Lightweight and Fast Backdoor Model Detection
by: Yu, Yinbo, et al.
Published: (2026)

Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective
by: Li, Nan, et al.
Published: (2024)

How to Craft Backdoors with Unlabeled Data Alone?
by: Wang, Yifei, et al.
Published: (2024)

Injecting Universal Jailbreak Backdoors into LLMs in Minutes
by: Chen, Zhuowei, et al.
Published: (2025)

Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024)

Magnitude-based Neuron Pruning for Backdoor Defens
by: Li, Nan, et al.
Published: (2024)

Backdoor Sentinel: Detecting and Detoxifying Backdoors in Diffusion Models via Temporal Noise Consistency
by: Wang, Bingzheng, et al.
Published: (2026)