Adversarial Machine Learning News Today

No foolproof method exists so far for protecting artificial intelligence systems from misdirection, warns an American standards body, and AI developers and users should be wary of any who claim otherwise. The caution comes from the U.S. National Institute of Standards and Technology (NIST) in a new guideline for application developers on vulnerabilities of predictive

Looking for the latest Government Contracting News? Read about NIST Aims to Inform AI Developers on Attack Types, Mitigation Strategies With New Report.

Publication lays out “adversarial machine learning” threats, describing mitigation strategies and their limitations.

/PRNewswire/ -- HiddenLayer, the leading security provider for artificial intelligence (AI) models and assets, proudly announces its partnership with the...

The Nightshade algorithm is arming artists with the power to fight back against AI data scraping. But with the power to destroy AI models, is it legal?

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HiddenLayer's MLSec Platform ships with a simple but powerful dashboard allowing security managers to get access to all the information...

While deep learning techniques have achieved great success in modern digital products, researchers have shown that deep learning models are susceptible to Trojan attacks. In a Trojan attack, an adversary stealthily modifies a deep learning model such that the model will output a predefined label whenever a trigger is present in the input. In this paper, we present TrojanModel, a practical Trojan attack against Automatic Speech Recognition (ASR) systems. ASR systems aim to transcribe voice input ...

Automatic Speech Recognition (ASR) systems are ubiquitous in various commercial applications. These systems typically rely on machine learning techniques for transcribing voice commands into text for further processing. Despite their success in many applications, audio Adversarial Examples (AEs) have emerged as a major security threat to ASR systems. This is because audio AEs are able to fool ASR models into producing incorrect results. While researchers have investigated methods for defending a...

About 66 per cent of Indian businesses fell prey to supply chain attacks in 2022.As t