Why are our computer systems so complex and so insecure? For years I’ve been trying to explain my understanding of this question. Here’s one explanation–which happens to be in the context of voting computers, but it’s a general phenomenon about all our computers: There are many layers between the application software that implements an electoral […]
Toward Trustworthy Machine Learning: An Example in Defending against Adversarial Patch Attacks (2)
By Chong Xiang and Prateek Mittal In our previous post, we discussed adversarial patch attacks and presented our first defense algorithm PatchGuard. The PatchGuard framework (small receptive field + secure aggregation) has become the most popular defense strategy over the past year, subsuming a long list of defense instances (Clipped BagNet, De-randomized Smoothing, BagCert, Randomized […]
Toward Trustworthy Machine Learning: An Example in Defending against Adversarial Patch Attacks
By Chong Xiang and Prateek Mittal Thanks to the stunning advancement of Machine Learning (ML) technologies, ML models are increasingly being used in critical societal contexts — such as in the courtroom, where judges look to ML models to determine whether a defendant is a flight risk, and in autonomous driving, where driverless vehicles are […]
Most top websites are not following best practices in their password policies
By Kevin Lee, Sten Sjöberg, and Arvind Narayanan Compromised passwords have consistently been the number one cause of data breaches by far, yet passwords remain the most common means of authentication on the web. To help, the information security research community has established best practices for helping users create stronger passwords. These include: Block weak […]
Phone number recycling creates serious security and privacy risks to millions of people
By Kevin Lee and Arvind Narayanan 35 million phone numbers are disconnected every year in the U.S., according to the Federal Communications Commission. Most of these numbers are not disconnected forever; after a while, carriers reassign them to new subscribers. Through the years, these new subscribers have sometimes reported receiving calls and messages meant for […]