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20142020
most citedStealing Machine Learning Models via Prediction APIs

733 citations

Showing 2020Show all

7 papers · 1 filter

eess.SP20204 cited

Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison

Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda +3

Spatial linear transforms that process multiple parallel analog signals to simplify downstream signal processing find widespread use in multi-antenna communication systems, machine…

cs.LG202075 cited

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems

Jiaxi Tang, Hongyi Wen, Ke Wang

Recommender systems play an important role in modern information and e-commerce applications. While increasing research is dedicated to improving the relevance and diversity of the…

cs.CV2020

Crowdsampling the Plenoptic Function

Zhengqi Li, Wenqi Xian, Abe Davis +1

Many popular tourist landmarks are captured in a multitude of online, public photos. These photos represent a sparse and unstructured sampling of the plenoptic function for a parti…

cs.CV202027 cited

Visual Chirality

Zhiqiu Lin, Jin Sun, Abe Davis +1

How can we tell whether an image has been mirrored? While we understand the geometry of mirror reflections very well, less has been said about how it affects distributions of image…

cs.CR202016 cited

The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums

Emily Tseng, Rosanna Bellini, Nora McDonald +5

Abusers increasingly use spyware apps, account compromise, and social engineering to surveil their intimate partners, causing substantial harms that can culminate in violence. This…

cs.CV20209 cited

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Rui Qian, Divyansh Garg, Yan Wang +6

Reliable and accurate 3D object detection is a necessity for safe autonomous driving. Although LiDAR sensors can provide accurate 3D point cloud estimates of the environment, they…