activity
20142021
most citedGotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

75 citations · 115 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2021★ 2 cited

Deepfake Videos in the Wild: Analysis and Detection

Jiameng Pu, Neal Mangaokar, Lauren Kelly +5

AI-manipulated videos, commonly known as deepfakes, are an emerging problem. Recently, researchers in academia and industry have contributed several (self-created) benchmark deepfa…

cs.LG2019★ 75 cited

Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks

Shawn Shan, Emily Wenger, Bolun Wang +3

Deep neural networks (DNN) are known to be vulnerable to adversarial attacks. Numerous efforts either try to patch weaknesses in trained models, or try to make it difficult or cost…

cs.CR2018★ 5 cited

Wireless Side-Lobe Eavesdropping Attacks

Yanzi Zhu, Ying Ju, Bolun Wang +3

Millimeter-wave wireless networks offer high throughput and can (ideally) prevent eavesdropping attacks using narrow, directional beams. Unfortunately, imperfections in physical ha…

cs.SI2015★ 19 cited

Defending against Sybil Devices in Crowdsourced Mapping Services

Gang Wang, Bolun Wang, Tianyi Wang +3

Real-time crowdsourced maps such as Waze provide timely updates on traffic, congestion, accidents and points of interest. In this paper, we demonstrate how lack of strong location…

cs.SI2014★ 14 cited

Crowds on Wall Street: Extracting Value from Social Investing Platforms

Gang Wang, Tianyi Wang, Bolun Wang +4

For decades, the world of financial advisors has been dominated by large investment banks such as Goldman Sachs. In recent years, user-contributed investment services such as Seeki…