#data-poisoning

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#ai
DevOps.com
3 months ago
Artificial intelligence

AISecOps: Expanding DevSecOps to Secure AI and ML - DevOps.com

AI and ML integration faces increasing cybersecurity threats, particularly targeting code repositories.
Data poisoning poses a significant risk to AI models by manipulating behavior through malicious code and data insertion. [ more ]
Medium
5 months ago
Privacy professionals

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
Medium
5 months ago
Privacy professionals

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
Medium
5 months ago
Privacy professionals

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
DevOps.com
3 months ago
Artificial intelligence

AISecOps: Expanding DevSecOps to Secure AI and ML - DevOps.com

AI and ML integration faces increasing cybersecurity threats, particularly targeting code repositories.
Data poisoning poses a significant risk to AI models by manipulating behavior through malicious code and data insertion. [ more ]
Medium
5 months ago
Privacy professionals

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
Medium
5 months ago
Privacy professionals

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
Medium
5 months ago
Privacy professionals

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
moreai
Itsnicethat
5 months ago
Artificial intelligence

This tool could "fully shield" artists from AI scraping their artwork

A new tool from Kin.art aims to protect artists from AI data scraping by preventing artwork from entering AI datasets.
Unlike existing tools that focus on data poisoning, Kin.art's tool disrupts the system of labels and images in AI datasets to prevent the insertion of artwork.
The tool is lightweight and offered for free, providing a proactive solution to prevent unauthorized imitation of artwork by AI. [ more ]
Theregister
5 months ago
Artificial intelligence

Artists can now poison their images to deter misuse by AI

Nightshade is a tool developed by University of Chicago to punish makers of machine learning models who use data without permission.
Nightshade is a data poisoning tool that manipulates images to make models ingest incorrect information. [ more ]
Medium
5 months ago
Artificial intelligence

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
Medium
5 months ago
Data science

Cybersecurity Measures to Prevent Data Poisoning

Data poisoning is a serious issue that can occur when AI or machine learning systems are fed bad data.
There are three main types of data poisoning: intentional misinformation, accidental poisoning, and disinformation campaigns. [ more ]
#ai-integration
Forbes
5 months ago
Artificial intelligence

Council Post: The Risks And Benefits Of Generative AI In Banking

AI integration in banking requires managing regulatory requirements alongside operational efficiency.
The risks associated with AI in banking include data poisoning, reverse engineering, deep fakes, and non-compliance. [ more ]
Forbes
5 months ago
Artificial intelligence

Council Post: The Risks And Benefits Of Generative AI In Banking

AI integration in banking requires managing regulatory requirements alongside operational efficiency.
The risks associated with AI in banking include data poisoning, reverse engineering, deep fakes, and non-compliance. [ more ]
Forbes
5 months ago
Artificial intelligence

Council Post: The Risks And Benefits Of Generative AI In Banking

AI integration in banking requires managing regulatory requirements alongside operational efficiency.
The risks associated with AI in banking include data poisoning, reverse engineering, deep fakes, and non-compliance. [ more ]
Forbes
5 months ago
Artificial intelligence

Council Post: The Risks And Benefits Of Generative AI In Banking

AI integration in banking requires managing regulatory requirements alongside operational efficiency.
The risks associated with AI in banking include data poisoning, reverse engineering, deep fakes, and non-compliance. [ more ]
moreai-integration
Forbes
5 months ago
Business intelligence

Council Post: The Risks And Benefits Of Generative AI In Banking

AI integration in banking requires managing regulatory requirements alongside operational efficiency.
The risks associated with AI in banking include data poisoning, reverse engineering, deep fakes, and non-compliance. [ more ]
Medium
6 days ago
Artificial intelligence

Mitigating the Risk of AI Bias in Cyber Threat Detection

Addressing AI bias is crucial to prevent cybersecurity oversights and identify data-poisoning threats from threat actors. [ more ]
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