Latest Articles for Backdoor Attack

Cryptography and Security Backdoor Attacks: A Hidden Threat to Voice Verification

Examining the risks of backdoor attacks on speaker verification systems.

2025-09-12T22:54:00+00:00 ― 6 min read

Cryptography and Security Addressing Backdoor Attacks in Diffusion Models

Investigating security risks and detection methods for diffusion models.

2025-09-11T00:03:36+00:00 ― 6 min read

Cryptography and Security Uncovering Backdoor Attacks on LLM-Based Agents

This article examines the threat of backdoor attacks on language model agents.

2025-09-07T01:39:18+00:00 ― 5 min read

Cryptography and Security Addressing Backdoor Vulnerabilities in Foundation Models

A method to fix backdoor issues in foundation models without losing functionality.

2025-09-05T06:20:12+00:00 ― 7 min read

Cryptography and Security Detecting Backdoor Attacks in Machine Learning Models

A new method reveals backdoor attack threats in machine learning without sensitive data access.

2025-09-03T11:32:42+00:00 ― 6 min read

Computer Vision and Pattern Recognition Detecting Backdoor Attacks in Facial Recognition Systems

A new method helps identify hidden vulnerabilities in biometric models.

2025-09-03T09:02:36+00:00 ― 5 min read

Machine Learning New Method for Identifying Backdoor Data in Machine Learning

A novel approach to find backdoor samples without needing clean data.

2025-08-29T04:05:30+00:00 ― 8 min read

Cryptography and Security Backdoor Attacks on Language Models: New Methods Revealed

A study reveals new techniques for backdoor attacks on language models with minimal impact.

2025-08-27T11:00:42+00:00 ― 10 min read

Computation and Language Improving Backdoor Attack Detection in NLP Models

Introducing TABDet, a new method for detecting backdoor attacks across NLP tasks.

2025-08-26T02:45:12+00:00 ― 5 min read

Cryptography and Security Backdoor Vulnerabilities in Chat Models

Research reveals significant security risks in chat models from backdoor attacks.

2025-08-23T12:52:12+00:00 ― 6 min read

Computation and Language Security Risks in Multilingual Machine Translation Systems

Research highlights vulnerabilities of MNMT systems to backdoor attacks.

2025-08-23T12:36:24+00:00 ― 7 min read

Computation and Language Defending Language Models from Backdoor Attacks

A new approach to protect language models from harmful data triggers.

2025-08-23T12:20:36+00:00 ― 7 min read

Machine Learning Risks of Backdoor Attacks in Self-Supervised Learning

Exploring the security challenges posed by self-supervised learning and no-label backdoor attacks.

2025-08-21T04:15:12+00:00 ― 6 min read

Machine Learning Federated Learning: Navigating Byzantine Challenges

Analyzing threats and defenses in federated learning against malicious attacks.

2025-08-20T23:46:36+00:00 ― 5 min read

Machine Learning Backdoor Attacks in Federated Transfer Learning

A look into focused backdoor attacks within federated machine learning systems.

2025-08-15T03:56:48+00:00 ― 5 min read

Computer Vision and Pattern Recognition BadFusion: A New Threat to 3D Object Detection

BadFusion uses camera data to launch backdoor attacks on self-driving systems.

2025-08-13T14:17:24+00:00 ― 6 min read

Cryptography and Security Addressing Security Risks in Quantized Deep Learning Models

This paper presents EFRAP, a defense against quantization-conditioned backdoor attacks in deep learning models.

2025-08-09T11:32:24+00:00 ― 7 min read

Machine Learning Cooperative Backdoor Attacks in Decentralized Reinforcement Learning

Research on how harmful agents can corrupt good agents in decentralized RL.

2025-08-07T10:02:00+00:00 ― 7 min read

Cryptography and Security New Backdoor Attack Method for Large ML Models

A resource-efficient approach to backdoor attacks on advanced machine learning models.

2025-08-07T00:01:36+00:00 ― 5 min read

Machine Learning Defending Deep Neural Networks from Backdoor Attacks

New method reduces backdoor threats in deep neural networks.

2025-08-06T14:40:42+00:00 ― 7 min read

Machine Learning Analyzing Backdoor Attacks in Graph Prompt Learning

This article examines security risks of backdoor attacks on machine learning in graph systems.

2025-08-05T15:22:24+00:00 ― 6 min read

Machine Learning Addressing Backdoor Threats in Deep Learning Systems

New methods combat backdoor attacks on machine learning models for increased security.

2025-08-04T15:08:48+00:00 ― 5 min read

Machine Learning Addressing Security in Diffusion Models

We propose a method for creating invisible backdoor triggers in diffusion models.

2025-08-03T12:25:06+00:00 ― 6 min read

Computation and Language The Hidden Threat of Backdoor Attacks on LLM Agents

Uncovering the risks posed by backdoor attacks on intelligent systems.

2025-08-01T19:51:54+00:00 ― 5 min read

Computation and Language Addressing Backdoor Attacks in NLP Models

New methods like PromptFix help secure language models from hidden threats.

2025-08-01T15:47:00+00:00 ― 5 min read

Machine Learning New Framework for Assessing Data Poisoning Risks in Machine Learning

Introducing a method to evaluate model resilience against data poisoning attacks.

2025-07-31T07:39:24+00:00 ― 6 min read

Machine Learning Challenges in Personalized Federated Learning and Backdoor Attacks

Exploring vulnerabilities in Personalized Federated Learning and emerging backdoor attack methods.

2025-07-30T21:39:00+00:00 ― 6 min read

Sound Improving Backdoor Attacks in Speech Recognition

New method targets rhythm changes for stealthy speech attacks.

2025-07-29T08:09:20+00:00 ― 5 min read

Machine Learning The Risks of Poisoning in Language Models

This article explores the impact of data poisoning on language model alignment.

2025-07-27T23:28:18+00:00 ― 6 min read

Machine Learning Understanding Backdoor Attacks in Machine Learning

Learn how backdoor attacks threaten machine learning systems and methods to defend against them.

2025-07-27T13:19:24+00:00 ― 6 min read

Artificial Intelligence Mitigating Backdoor Attacks in Language Models

A new defense strategy for LLMs against backdoor attacks.

2025-07-26T23:22:36+00:00 ― 5 min read

Cryptography and Security Addressing Safety Backdoor Attacks in AI Models

A new method tackles hidden threats in large language models.

2025-07-25T00:46:00+00:00 ― 6 min read

Machine Learning Addressing Backdoor Attacks in Continual Learning

Examining risks and defenses against backdoor attacks in AI models.

2025-07-22T17:51:42+00:00 ― 7 min read

Machine Learning Security Challenges of Graph Neural Networks

Exploring backdoor attacks and graph reduction methods in GNNs.

2025-07-20T21:45:12+00:00 ― 5 min read

Computer Vision and Pattern Recognition New Threats in Federated Learning: Venomancer Attack

Venomancer is a stealthy backdoor attack on federated learning systems.

2025-07-20T07:32:00+00:00 ― 5 min read

Computer Vision and Pattern Recognition T2IShield: Protecting Text-to-Image Models from Backdoor Attacks

A new defense method to enhance safety in text-to-image diffusion models.

2025-07-19T15:59:48+00:00 ― 5 min read

Computation and Language The Hidden Threats of Language Model Security

Concerns grow over backdoor attacks in language models, impacting safety and reliability.

2025-07-19T14:56:36+00:00 ― 6 min read

Computation and Language Addressing Security Risks in Clinical Language Models

Examining vulnerabilities in clinical language models and their impact on patient safety.

2025-07-18T08:31:42+00:00 ― 7 min read

Cryptography and Security Defending Machine Learning Models from Backdoor Attacks

New methods aim to secure machine learning models against backdoor threats.

2025-07-16T05:34:24+00:00 ― 4 min read

Cryptography and Security Addressing Security Risks in Code Language Models

New models help developers, but backdoor attacks pose serious security risks.

2025-07-15T12:43:12+00:00 ― 8 min read