733 citations
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14 papers · 1 filter
Stacked Generative Adversarial Networks
Xun Huang, Yixuan Li, Omid Poursaeed +2
In this paper, we propose a novel generative model named Stacked Generative Adversarial Networks (SGAN), which is trained to invert the hierarchical representations of a bottom-up…
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick +3
Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But recent deep learning object detectors have avoided pyramid representati…
Syntactic Enhancement to VSIMM for Roadmap Based Anomalous Trajectory Detection: A Natural Language Processing Approach
Vikram Krishnamurthy, Sijia Gao
The aim of syntactic tracking is to classify spatio-temporal patterns of a target's motion using natural language processing models. In this paper, we generalize earlier work by co…
Tracking Infection Diffusion in Social Networks: Filtering Algorithms and Threshold Bounds
Vikram Krishnamurthy, Sujay Bhatt, Tavis Pedersen
This paper deals with the statistical signal pro- cessing over graphs for tracking infection diffusion in social networks. Infection (or Information) diffusion is modeled using the…
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr, Fan Zhang, Ari Juels +2
Machine learning (ML) models may be deemed confidential due to their sensitive training data, commercial value, or use in security applications. Increasingly often, confidential ML…
Membership Inference Attacks against Machine Learning Models
Reza Shokri, Marco Stronati, Congzheng Song +1
We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the basic membership inference…