Latest Articles for Backdoor Attack

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

Machine Learning New Detection Method for Backdoor Attacks in Federated Learning

A novel approach to enhance security in federated learning against backdoor attacks.

2025-07-14T16:58:12+00:00 ― 5 min read

Computer Vision and Pattern Recognition Protecting Neural Networks from Backdoor Attacks

A new method enhances the security of deep learning models against hidden threats.

2025-07-14T04:19:48+00:00 ― 6 min read

Computer Vision and Pattern Recognition Protecting Semi-Supervised Learning from Backdoor Attacks

A new method aims to secure semi-supervised learning against backdoor threats.

2025-07-13T19:54:12+00:00 ― 6 min read

Machine Learning Securing Graph Neural Networks Against Attacks

This article discusses safeguarding GNNs from data poisoning and backdoor attacks.

2025-07-13T08:26:54+00:00 ― 8 min read

Machine Learning New Methods for Clean-Label Backdoor Attacks

Analyzing effective clean-label backdoor attack techniques in machine learning.

2025-07-13T07:15:48+00:00 ― 6 min read

Computer Vision and Pattern Recognition The Security Risks of Neural Radiance Fields

Examining the vulnerabilities and potential attacks on NeRF technology.

2025-07-12T14:48:18+00:00 ― 5 min read

Machine Learning Backdoor Attacks in Machine Learning: A Rising Threat

This paper examines backdoor attacks and their implications on machine learning security.

2025-07-10T15:08:30+00:00 ― 6 min read

Cryptography and Security Assessing Clean-Label Physical Backdoor Attacks in DNNs

This study examines the effectiveness of clean-label physical backdoor attacks in deep neural networks.

2025-07-06T03:02:36+00:00 ― 5 min read

Machine Learning Backdoor Attacks in Neural Networks: A New Threat

This article discusses a method for introducing backdoors into neural networks during training.

2025-07-05T04:23:48+00:00 ― 5 min read

Machine Learning Addressing Vulnerabilities in Large Language Models

A look at the weaknesses in LLMs and strategies for improvement.

2025-07-04T16:48:36+00:00 ― 8 min read

Cryptography and Security Emotional Prosody: A Threat to Speaker Identification Systems

Examining how emotional cues can hijack speaker identification technology.

2025-07-03T03:17:06+00:00 ― 6 min read

Cryptography and Security Security Challenges in Diffusion Models

Examining vulnerabilities and defenses in diffusion models for safe content generation.

2025-07-01T14:09:18+00:00 ― 6 min read

Computer Vision and Pattern Recognition Addressing Security Risks in Medical AI Models

New methods expose vulnerabilities in medical models through backdoor attacks.

2025-06-27T20:37:18+00:00 ― 5 min read

Computer Vision and Pattern Recognition Assessing Security in Visual State Space Models Against Backdoor Attacks

This study investigates the vulnerability of VSS models to backdoor attacks.

2025-06-24T09:48:12+00:00 ― 4 min read

Computation and Language New Method Enhances Stealth of Textual Attacks

A novel approach improves the effectiveness of backdoor attacks on NLP models.

2025-06-24T08:29:12+00:00 ― 5 min read

Cryptography and Security New Method of Backdoor Attacks on Neural Networks

This article discusses a method to manipulate neural networks without triggers.

2025-06-24T05:35:24+00:00 ― 6 min read

Sound EmoAttack: A New Threat in Speech Technology

EmoAttack leverages emotional voice conversion to exploit vulnerabilities in speech systems.

2025-06-24T01:59:45+00:00 ― 5 min read

Cryptography and Security The Threat of Backdoor Attacks on Object Detectors

Investigating backdoor attacks and their risks to object detection systems.

2025-06-23T12:36:18+00:00 ― 6 min read

Computer Vision and Pattern Recognition A New Threat: NoiseAttack in Machine Learning

NoiseAttack alters multiple classes in backdoor attacks using subtle noise patterns.

2025-06-18T00:08:54+00:00 ― 6 min read

Cryptography and Security Risks of Backdoor Attacks in Language Models

Learn how hidden triggers can manipulate language models and pose serious risks.

2025-06-17T19:48:12+00:00 ― 6 min read

Cryptography and Security The Vulnerability of Valuable Data in Machine Learning

Examining how important data points attract more security risks in machine learning.

2025-06-16T17:20:18+00:00 ― 5 min read

Cryptography and Security Risks of Backdoor Attacks in AI Models

Study reveals vulnerabilities in AI models due to backdoor attacks.

2025-06-15T23:18:00+00:00 ― 5 min read

Artificial Intelligence Threats of Backdoor Attacks in Multi-Agent Systems

Exploring vulnerabilities of cooperative multi-agent systems to backdoor attacks.

2025-06-12T21:02:24+00:00 ― 5 min read