4 citations · 6 across the 2 of their papers we have counts for
5 papers
From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!
Giada Stivala, Sahar Abdelnabi, Andrea Mengascini +3
Clickbait PDFs are PDF documents that do not embed malware but trick victims into visiting malicious web pages leading to attacks like password theft or drive-by download. While re…
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou, Florian Tramèr, Giancarlo Pellegrino
SentiNet is a novel detection framework for localized universal attacks on neural networks. These attacks restrict adversarial noise to contiguous portions of an image and are reus…
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning
Florian Tramèr, Pascal Dupré, Gili Rusak +2
Perceptual ad-blocking is a novel approach that detects online advertisements based on their visual content. Compared to traditional filter lists, the use of perceptual signals is…
Fidelius: Protecting User Secrets from Compromised Browsers
Saba Eskandarian, Jonathan Cogan, Sawyer Birnbaum +11
Users regularly enter sensitive data, such as passwords, credit card numbers, or tax information, into the browser window. While modern browsers provide powerful client-side privac…
Deemon: Detecting CSRF with Dynamic Analysis and Property Graphs
Giancarlo Pellegrino, Martin Johns, Simon Koch +2
Cross-Site Request Forgery (CSRF) vulnerabilities are a severe class of web vulnerabilities that have received only marginal attention from the research and security testing commun…