A recent survey by O’Reilly sheds light on common risk blind spots of artificial intelligence (AI)/Machine learning (ML) developers. The most glaring oversight is security, with nearly three in four (73%) respondents acknowledging that they do not test their models for security flaws during development. Other issues that are commonly

Once again, a popular mobile app for generating deepfakes, i.e. images or videos doctored by artificial intelligence (AI), has prompted a major privacy backlash. Since last weekend, Chinese face-swap app Zao has taken China’s iOS store by storm. The app can generate deepfakes of scenes from popular movies and TV-shows

The US Defense Advanced Research Projects Agency (DARPA) aims to develop software that can spot fake news stories as well as fake audio, images and video (deepfakes) in order to combat “large-scale, automated disinformation attacks.” Over a period of 48 months the DARPA initiative, called the Semantic Forensics (SemaFor) program,

While facial recognition holds great promise for the security industry as a more secure authentication mechanism than passwords or PINS, the technology does come with various risks according to Allerin CEO Naveen Joshi. The risks stem from the fact that facial recognition algorithms, like other technologies leveraging artificial intelligence (AI),

The United States Defense Advanced Research Projects Agency (DARPA) is launching an initiative to battle the growing threat of deepfakes, which are images or videos doctored by artificial intelligence (AI) that show individuals saying and doing things they never said or did. According to the agency, deepfakes are increasingly used

Security researchers with Skylight Cyber have found a surprisingly easy way to let malware bypass Cylance’s AI-based anti-malware solution. The research shows that while artificial intelligence holds great potential for cybersecurity, AI-driven security offerings can be far from bulletproof.  In order to deceive Cylance’s algorithm, all the researchers had to

Researchers with CSIRO’s Data61 have developed a method to employ machine learning in order to “vaccinate” systems against adversarial attacks, which are attempts to tamper with machine learning models by feeding them malicious data. For instance, by distorting images in various ways, threat actors may be able to bypass surveillance

A new Alegion report highlights the difficulties companies encounter when trying to develop artificial intelligence (AI) and machine learning (ML) solutions. The survey found that almost 8 in 10 firms (78%) the have launched AI/ML projects saw their initiatives came to a grinding halt before deployment. In addition, virtually every

It is no secret that in order to improve the performance of artificial intelligence (AI) solutions, developers need to feed massive amounts of data into their AI algorithms so that these can evolve through “learning.” However, experts warn that AI firms are often far from transparent about how they gather

A new MIT study suggests that artificial intelligence (AI) may sometimes misidentify objects not because it sees things that aren’t there, but because it sees the world in ways that humans cannot. In previous studies, researchers discovered that while machine learning algorithms can be used to train AI to classify