Identifying People by Their Browsing Histories

Interesting paper: "Replication: Why We Still Can’t Browse in Peace: On the Uniqueness and Reidentifiability of Web Browsing Histories": We examine the threat to individuals’ privacy based on the feasibility of reidentifying users through distinctive profiles of their browsing history visible to websites and third parties. This work replicates and extends the 2012 paper Why Johnny Can’t Browse in Peace:… Continue reading Identifying People by Their Browsing Histories

Using Disinformation to Cause a Blackout

Interesting paper: "How weaponizing disinformation can bring down a city’s power grid": Abstract: Social media has made it possible to manipulate the masses via disinformation and fake news at an unprecedented scale. This is particularly alarming from a security perspective, as humans have proven to be one of the weakest links when protecting critical infrastructure in general, and the power… Continue reading Using Disinformation to Cause a Blackout

UAE Hack and Leak Operations

Interesting paper on recent hack-and-leak operations attributed to the UAE: Abstract: Four hack-and-leak operations in U.S. politics between 2016 and 2019, publicly attributed to the United Arab Emirates (UAE), Qatar, and Saudi Arabia, should be seen as the "simulation of scandal" ­– deliberate attempts to direct moral judgement against their target. Although "hacking" tools enable easy access to secret information,… Continue reading UAE Hack and Leak Operations

Adversarial Machine Learning and the CFAA

I just co-authored a paper on the legal risks of doing machine learning research, given the current state of the Computer Fraud and Abuse Act: Abstract: Adversarial Machine Learning is booming with ML researchers increasingly targeting commercial ML sy… Continue reading Adversarial Machine Learning and the CFAA

Adversarial Machine Learning and the CFAA

I just co-authored a paper on the legal risks of doing machine learning research, given the current state of the Computer Fraud and Abuse Act: Abstract: Adversarial Machine Learning is booming with ML researchers increasingly targeting commercial ML systems such as those used in Facebook, Tesla, Microsoft, IBM, Google to demonstrate vulnerabilities. In this paper, we ask, "What are the… Continue reading Adversarial Machine Learning and the CFAA

Fawkes: Digital Image Cloaking

Fawkes is a system for manipulating digital images so that they aren’t recognized by facial recognition systems. At a high level, Fawkes takes your personal images, and makes tiny, pixel-level changes to them that are invisible to the human eye, in a process we call image cloaking. You can then use these "cloaked" photos as you normally would, sharing them… Continue reading Fawkes: Digital Image Cloaking

Hacking a Power Supply

This hack targets the firmware on modern power supplies. (Yes, power supplies are also computers.) Normally, when a phone is connected to a power brick with support for fast charging, the phone and the power adapter communicate with each other to determine the proper amount of electricity that can be sent to the phone without damaging the device­ — the… Continue reading Hacking a Power Supply

Securing the International IoT Supply Chain

Together with Nate Kim (former student) and Trey Herr (Atlantic Council Cyber Statecraft Initiative), I have written a paper on IoT supply chain security. The basic problem we try to solve is: how to you enforce IoT security regulations when most of the stuff is made in other countries? And our solution is: enforce the regulations on the domestic company… Continue reading Securing the International IoT Supply Chain