University at Buffalo computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94% effective in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing to be held in June in Toronto, Canada.
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Skoltech researchers were able to show that patterns that can cause neural networks to make mistakes in recognizing images are, in effect, akin to Turing patterns found all over the natural world. In the future, this result can be used to design defenses for pattern recognition systems currently vulnerable to attacks. The paper, available as an arXiv preprint, was presented at the 35th AAAI Conference on Artificial Intelligence (AAAI-21).
Deep neural networks, smart and adept at image recognition and classification as they already are, can still be vulnerable to what s called adversarial perturbations: small but peculiar details in an image that cause errors in neural network output. Some of them are universal: that is, they interfere with the neural network when placed on any input.
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IMAGE: This figure shows the experimental demonstration of 2D and 3D holographic projection. The left photograph is focused on the mouse toy (in yellow box) closer to the camera, and the. view more
Credit: Courtesy of Liang Shi, Wojciech Matusik, et al
Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing. One reason: VR can make users feel sick. Nausea and eye strain can result because VR creates an illusion of 3D viewing although the user is in fact staring at a fixed-distance 2D display. The solution for better 3D visualization could lie in a 60-year-old technology remade for the digital world: holograms.
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BROOKLYN, New York, Friday, March 5, 2021 - Dan Guido, an alumni of the NYU Tandon School of Engineering, is the sixth inductee into the CyberCorps: Scholarship for Service (SFS) Hall of Fame since inaugural class of honorees in 2018. Guido ( 08) was inducted on March 4 2021, at a virtual event that included approximately 750 students attending this year s SFS Job Fair, representatives of many government agencies, and elected officials. The winner is selected from a potential pool of 3,458 SFS graduates to date.
Launched by the Clinton Administration in 2000 and now overseen by the U.S. National Science Foundation (NSF) in collaboration with the U.S. Department of Homeland Security (DHS) and the Office of Personnel Management (OPM) SFS provides a generous three-year scholarship to students to pursue specialization in cyber security in exchange for a commitment to work for the federal, state, local, tribal or territorial government organization for three years.
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IMAGE: Researchers from SMU uncovered a dynamic, intelligent and non-intrusive method for detecting malware on Android devices. view more
Credit: Singapore Management University
SMU Office of Research and Tech Transfer - Cyber attacks on mobile devices are on the rise, with over 100 million attacks reported per year since 2018.
Despite this, recent security research shows that most companies have unprotected data and poor cybersecurity practices in place, thus making them vulnerable to data breaches and data losses. This is a top concern for every company because nearly all workers are routinely accessing corporate data from their smartphones and tablets, SMU Associate Professor of Information Systems Gao Debin told the Office of Research and Tech Transfer. The cost of a corporate data breach is huge. It is estimated at a whopping S$6.8 million (US$3.86 million).