Machine learning is no novelty anymore. On the contrary: every self-respecting startup feels compelled to apply machine learning in its offerings. The hunt for scarce developers has been superseded by a scramble for machine learning experts. Fortunately, many machine learning tasks are similar enough that it is possible to save time and money by using pre-trained models. Open-source models are also available free of charge. But does this all really work as well as it seems?
August 27, 2018
August 10, 2018
Many of the systems that power the modern world are supposed to be beyond the reach of mere mortals. Developers naively assume that these systems will never give up their secrets to attackers and eagle-eyed researchers.
ATMs are a perfect case in point. Thefts with malware of the likes of Cutlet Maker, as well as unpublicized incidents when unknown attackers plugged in their laptop to an ATM and stole cash without leaving any system logs behind, confirm what the security community has long known. There is no such thing as a hack-proof system, merely one that has not been sufficiently tested.