51 citations
6 papers
ANDRUSPEX : Leveraging Graph Representation Learning to Predict Harmful App Installations on Mobile Devices
Yun Shen, Gianluca Stringhini
Android's security model severely limits the capabilities of anti-malware software. Unlike commodity anti-malware solutions on desktop systems, their Android counterparts run as sa…
Deep Detector Health Management under Adversarial Campaigns
Javier Echauz, Keith Kenemer, Sarfaraz Hussein +4
Machine learning models are vulnerable to adversarial inputs that induce seemingly unjustifiable errors. As automated classifiers are increasingly used in industrial control system…
ATTACK2VEC: Leveraging Temporal Word Embeddings to Understand the Evolution of Cyberattacks
Yun Shen, Gianluca Stringhini
Despite the fact that cyberattacks are constantly growing in complexity, the research community still lacks effective tools to easily monitor and understand them. In particular, th…
Siamese Networks for Semantic Pattern Similarity
Yassine Benajiba, Jin Sun, Yong Zhang +3
Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract sema…
Practical Attacks Against Graph-based Clustering
Yizheng Chen, Yacin Nadji, Athanasios Kountouras +4
Graph modeling allows numerous security problems to be tackled in a general way, however, little work has been done to understand their ability to withstand adversarial attacks. We…
Analyzing Social and Stylometric Features to Identify Spear phishing Emails
Prateek Dewan, Anand Kashyap, Ponnurangam Kumaraguru
Spear phishing is a complex targeted attack in which, an attacker harvests information about the victim prior to the attack. This information is then used to create sophisticated,…