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20142023
most citedEnsemble Adversarial Training: Attacks and Defenses

2.3k citations · 6.5k across the 41 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

cs.SI2018

More or Less? Predict the Social Influence of Malicious URLs on Social Media

Chun-Ming Lai, Xiaoyun Wang, Jon W. Chapman +5

Users of Online Social Networks (OSNs) interact with each other more than ever. In the context of a public discussion group, people receive, read, and write comments in response to…

cs.CR2018★ 118 cited

IoTSan: Fortifying the Safety of IoT Systems

Dang Tu Nguyen, Chengyu Song, Zhiyun Qian +3

Today's IoT systems include event-driven smart applications (apps) that interact with sensors and actuators. A problem specific to IoT systems is that buggy apps, unforeseen bad ap…

cs.CR2018★ 20 cited

Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities

Z. Berkay Celik, Earlence Fernandes, Eric Pauley +2

Recent advances in Internet of Things (IoT) have enabled myriad domains such as smart homes, personal monitoring devices, and enhanced manufacturing. IoT is now pervasive---new app…

cs.CR2018

Regulating Access to System Sensors in Cooperating Programs

Giuseppe Petracca, Jens Grossklags, Patrick McDaniel +1

Modern operating systems such as Android, iOS, Windows Phone, and Chrome OS support a cooperating program abstraction. Instead of placing all functionality into a single program, p…

cs.CR2018★ 166 cited

Soteria: Automated IoT Safety and Security Analysis

Z. Berkay Celik, Patrick McDaniel, Gang Tan

Broadly defined as the Internet of Things (IoT), the growth of commodity devices that integrate physical processes with digital systems have changed the way we live, play and work.…

cs.LG2018★ 359 cited

Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

Nicolas Papernot, Patrick McDaniel

Deep neural networks (DNNs) enable innovative applications of machine learning like image recognition, machine translation, or malware detection. However, deep learning is often cr…