Cover Image

Hardware-Triggered Backdoors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Möller, Jonas, Imgrund, Erik, Eisenhofer, Thorsten, Rieck, Konrad
Format:	Preprint
Published:	2026
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

Adversarial Observations in Weather Forecasting
by: Imgrund, Erik, et al.
Published: (2025)

LLM-based Vulnerability Discovery through the Lens of Code Metrics
by: Weissberg, Felix, et al.
Published: (2025)

Fingerprinting Inference Systems of Large Language Models
by: Wimbauer, Anna, et al.
Published: (2026)

Evil from Within: Machine Learning Backdoors through Hardware Trojans
by: Warnecke, Alexander, et al.
Published: (2023)

SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
by: Weissberg, Felix, et al.
Published: (2025)

Prompt Obfuscation for Large Language Models
by: Pape, David, et al.
Published: (2024)

Whispers in the Machine: Confidentiality in Agentic Systems
by: Evertz, Jonathan, et al.
Published: (2024)

Learned-Database Systems Security
by: Schuster, Roei, et al.
Published: (2022)

Backdoors in DRL: Four Environments Focusing on In-distribution Triggers
by: Ashcraft, Chace, et al.
Published: (2025)

Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
by: Li, Yige, et al.
Published: (2024)

Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
by: Liu, Dongyi, et al.
Published: (2025)

Robust Backdoor Removal by Reconstructing Trigger-Activated Changes in Latent Representation
by: Iwahana, Kazuki, et al.
Published: (2025)

A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
by: Wan, Jialin, et al.
Published: (2025)

Turn-Based Structural Triggers: Prompt-Free Backdoors in Multi-Turn LLMs
by: Lu, Yiyang, et al.
Published: (2026)

Is the Trigger Essential? A Feature-Based Triggerless Backdoor Attack in Vertical Federated Learning
by: Liu, Yige, et al.
Published: (2026)

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
by: Zhang, Mingxuan, et al.
Published: (2025)

Multi-Trigger Poisoning Amplifies Backdoor Vulnerabilities in LLMs
by: Sivapiromrat, Sanhanat, et al.
Published: (2025)

Pay Attention to the Triggers: Constructing Backdoors That Survive Distillation
by: De Muri, Giovanni, et al.
Published: (2025)

On the Detection of Image-Scaling Attacks in Machine Learning
by: Quiring, Erwin, et al.
Published: (2023)

Tiny, Hardware-Independent, Compression-based Classification
by: Meyers, Charles, et al.
Published: (2026)

Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
by: Price, Sara, et al.
Published: (2024)

STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling
by: Wang, Kun, et al.
Published: (2026)

Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
by: Wen, Yuxin, et al.
Published: (2024)

Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs
by: Wang, Yifei, et al.
Published: (2026)

The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
by: Mengara, Orson
Published: (2024)

Backdoor Attack with Sparse and Invisible Trigger
by: Gao, Yinghua, et al.
Published: (2023)

Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs
by: Yang, Han, et al.
Published: (2025)

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
by: Wu, Baoyuan, et al.
Published: (2024)

Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning
by: Zhang, Yujie, et al.
Published: (2024)

No More, No Less: Task Alignment in Terminal Agents
by: Mavali, Sina, et al.
Published: (2026)

Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
by: Cinà, Antonio Emanuele, et al.
Published: (2021)

I still know it's you! On Challenges in Anonymizing Source Code
by: Horlboge, Micha, et al.
Published: (2022)

Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models
by: Yao, Duanyi, et al.
Published: (2026)

Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
by: Lin, Weilin, et al.
Published: (2024)

Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting
by: Kirchner, Robin, et al.
Published: (2025)

Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors
by: Yang, Fan, et al.
Published: (2026)

Erased but Not Forgotten: How Backdoors Compromise Concept Erasure
by: Braun, Tobias, et al.
Published: (2025)

Backdooring Masked Diffusion Language Models
by: Cao, Daniel Yiming, et al.
Published: (2026)

Backdoor Attacks on Decentralised Post-Training
by: Ersoy, Oğuzhan, et al.
Published: (2026)

Persistent Backdoor Attacks in Continual Learning
by: Guo, Zhen, et al.
Published: (2024)