Researchers improve security for smart systems
In an increasingly connected and smart world, sensors collect and share large amounts of data to help people make decisions.
Nov 8, 2022
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5
Computer Sciences
News tagged with adversarial attacks
Security
The vulnerability of transformers-based malware detectors to adversarial attacks
Cyber attackers are coming up with increasingly sophisticated techniques to steal users' sensitive information, encrypt documents to receive a ransom, or damage computer systems. As a result, computer scientists have been ...
Oct 18, 2022 feature
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46
Computer Sciences
A deep learning technique to generate DNS amplification attacks
Deep learning techniques have recently proved to be highly promising for detecting cybersecurity attacks and determining their nature. Concurrently, many cybercriminals have been devising new attacks aimed at interfering ...
Jul 14, 2022 feature
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123
Computer Sciences
Protecting computer vision from adversarial attacks
Advances in computer vision and machine learning have made it possible for a wide range of technologies to perform sophisticated tasks with little or no human supervision. From autonomous drones and self-driving cars to medical ...
Jun 17, 2022
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84
Computer Sciences
A strategy to discern between real and virtual video conferencing backgrounds
Video-conferencing platforms such as Skype, Microsoft Teams, Zoom and Google Meet allow people to communicate remotely with others in different parts of the world. The COVID-19 pandemic and the social distancing measures ...
May 17, 2022 feature
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Internet
'Trojan Source' bug a novel way to attack program encodings
A pair of security experts at TrojanSource have found a novel way to attack computer source code—one that fools a compiler (and human reviewer) into thinking code is safe. Nicholas Boucher and Ross Anderson, both with the ...
Nov 3, 2021 report
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110
Computer Sciences
Fooling deep neural networks for object detection with adversarial 3-D logos
Over the past decade, researchers have developed a growing number of deep neural networks that can be trained to complete a variety of tasks, including recognizing people or objects in images. While many of these computational ...
Jul 30, 2020 feature
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129
Computer Sciences
FoolChecker: A platform to check how robust an image is against adversarial attacks
Deep neural networks (DNNs) have so far proved to be highly promising for a wide range of applications, including image and audio classification. Nonetheless, their performance heavily relies on the amount of data used to ...
Jun 29, 2020 feature
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107
Computer Sciences
A method to protect audio classifiers against adversarial attacks
In recent years, machine learning algorithms have attained remarkable results in a variety of tasks, including the classification of both images and audio files. A class of algorithms that has proven to be particularly promising ...
Jun 25, 2020 feature
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147
Computer Sciences
Hey, Alexa: Sorry I fooled you
A human can likely tell the difference between a turtle and a rifle. Two years ago, Google's AI wasn't so sure. For quite some time, a subset of computer science research has been dedicated to better understanding how machine ...
Feb 24, 2020
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