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2019

Journal Articles

 Person Recognition in Personal Photo Collections

Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele

Person Recognition in Personal Photo Collections Journal Article

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Links | BibTeX | Tags: 2019

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation

Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation Journal Article

Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Links | BibTeX | Tags: 2017, 2018, 2019

Incollections

Towards reverse-engineering black-box neural networks

Seong Joon Oh; Bernt Schiele; Mario Fritz

Towards reverse-engineering black-box neural networks Incollection

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 2019.

Links | BibTeX | Tags: 2019

Inproceedings

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints

Ning Yu; Larry Davis; Mario Fritz

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints Inproceedings

International Conference on Computer Vision (ICCV), 2019.

Links | BibTeX | Tags: 2019

Deep Appearance Maps

Maxim Maximov; Tobias Ritschel; Laura Leal-Taixe; Mario Fritz

Deep Appearance Maps Inproceedings

International Conference on Computer Vision (ICCV), 2019.

Links | BibTeX | Tags: 2019

Knockoff Nets: Stealing Functionality of Black-Box Models

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Knockoff Nets: Stealing Functionality of Black-Box Models Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Links | BibTeX | Tags: 2019

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation

Rakshith Shetty; Bernt Schiele; Mario Fritz

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Links | BibTeX | Tags: 2019

Time-Conditioned Action Anticipation in One Shot

Qiuhong Ke; Mario Fritz; Bernt Schiele

Time-Conditioned Action Anticipation in One Shot Inproceedings

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

BibTeX | Tags: 2019

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Inproceedings

International Conference on Representation Learning (ICLR), 2019.

Links | BibTeX | Tags: 2019

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Ahmed Salem; Yang Zhang; Mathias Humbert; Mario Fritz; Michael Backes

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models Inproceedings

Annual Network and Distributed System Security Symposium (NDSS), 2019, (to appear).

Links | BibTeX | Tags: 2019

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources

Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources Inproceedings

IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, (to appear).

Links | BibTeX | Tags: 2019

Technical Reports

"Best-of-Many-Samples" Distribution Matching

Apratim Bhattacharyya; Mario Fritz; Bernt Schiele

"Best-of-Many-Samples" Distribution Matching Technical Report

arXiv:1909.12598, 2019.

Links | BibTeX | Tags: 2019

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Dingfan Chen; Ning Yu; Yang Zhang; Mario Fritz

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs Technical Report

arXiv:1909.03935, 2019.

Links | BibTeX | Tags: 2019

WhiteNet: Phishing Website Detection by Visual Whitelists

Sahar Abdelnabi; Katharina Krombholz; Mario Fritz

WhiteNet: Phishing Website Detection by Visual Whitelists Technical Report

arXiv:1909.00300, 2019.

Links | BibTeX | Tags: 2019

Conditional Flow Variational Autoencoders for Structured Sequence Prediction

Apratim Bhattacharyya; Michael Hanselmann; Mario Fritz; Bernt Schiele; Christoph-Nikolas Straehle

Conditional Flow Variational Autoencoders for Structured Sequence Prediction Technical Report

arXiv:1908.09008, 2019.

Links | BibTeX | Tags: 2019

Interpretability Beyond Classification Output: Semantic Bottleneck Networks

Max Losch; Mario Fritz; Bernt Schiele

Interpretability Beyond Classification Output: Semantic Bottleneck Networks Technical Report

arXiv:1907.10882 , 2019.

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Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks

Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks Technical Report

arXiv:1906.10908 , 2019.

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SampleFix: Learning to Correct Programs by Sampling Diverse Fixes

Hossein Hajipour; Apratim Bhattacharya; Mario Fritz

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes Technical Report

arXiv:1906.10502, 2019.

Links | BibTeX | Tags: 2019

Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches

Hosnieh Sattar; Katharina Krombholz; Gerard Pons-Moll; Mario Fritz

Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches Technical Report

arXiv:1905.11503 , 2019.

Links | BibTeX | Tags: 2019

Learning Manipulation under Physics Constraints with Visual Perception

Wenbin Li; Ales Leonardis; Jeannette Bohg; Mario Fritz

Learning Manipulation under Physics Constraints with Visual Perception Technical Report

2019.

Links | BibTeX | Tags: 2019

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Ahmed Salem; Apratim Bhattacharya; Michael Backes; Mario Fritz; Yang Zhang

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Technical Report

2019.

Links | BibTeX | Tags: 2019

Workshops

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

Ahmed Salem; Apratim Bhattacharya; Michael Backes; Mario Fritz; Yang Zhang

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning Workshop

Hot Topics in Privacy Enhancing Technologies (HotPETs), 2019.

Links | BibTeX | Tags: 2019

Understanding and Recognizing Bystanders in Images for Privacy Protection

Rakibul Hasan; David Crandall; Mario Fritz; Apu Kapadia

Understanding and Recognizing Bystanders in Images for Privacy Protection Workshop

Privacy, Usability, and Transparency (PUT) @ PETs, 2019.

Links | BibTeX | Tags: 2019

2018

Technical Reports

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation

Rakshith Shetty; Bernt Schiele; Mario Fritz

Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation Technical Report

arXiv:1812.06707, 2018.

Links | BibTeX | Tags: 2019