Items where Division is "Mario Fritz (MF)" and Year is 2020

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Number of items: 22.

A

Abdelnabi, Sahar and Krombholz, Katharina and Fritz, Mario
(2020) VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity.
In: ACM Conference on Computer and Communications Security (CCS).
Conference: CCS ACM Conference on Computer and Communications Security

Agarwal, Vedika and Shetty, Rakshith and Fritz, Mario
(2020) Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing.
In: IEEE Conference on Computer Vision and Pattern Recognition.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

B

Bhattacharyya, Apratim and Mahajan, Shweta and Fritz, Mario and Schiele, Bernt and Roth, Stefan
(2020) Normalizing Flows with Multi-scale Autoregressive Priors.
In: IEEE Conference on Computer Vision and Pattern Recognition.
Conference: CVPR IEEE Conference on Computer Vision and Pattern Recognition

Bhattacharyya, Apratim and Straehle, Christoph-Nikolas and Fritz, Mario and Schiele, Bernt
(2020) Haar Wavelet based Block Autoregressive Flows for Trajectories.
In: German Conference on Pattern Recognition (GCPR).
Conference: GCPR German Conference on Pattern Recognition

C

Chen, Dingfan and Orekondy, Tribhuvanesh and Fritz, Mario
(2020) GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.
In: 34th Conference on Neural Information Processing Systems (NeurIPS 2020).
Conference: NeurIPS Conference on Neural Information Processing Systems

Chen, Dingfan and Yu, Ning and Zhang, Yang and Fritz, Mario
(2020) GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
In: ACM Conference on Computer and Communications Security (CCS).
Conference: CCS ACM Conference on Computer and Communications Security

H

Hajipour, Hossein and Bhattacharyya, Apratim and Fritz, Mario
(2020) SampleFix: Learning to Correct Programs by Sampling Diverse Fixes.
In: NeurIPS Workshop on Computer-Assisted Programming.
Conference: ECCV European Conference on Computer Vision

Hajipour, Hossein and Malinowski, Mateusz and Fritz, Mario
(2020) IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis.
In: NeurIPS Workshop on Computer-Assisted Programming.
Conference: ECCV European Conference on Computer Vision

Hasan, Rakibul and Crandall, David and Fritz, Mario and Kapadia, Apu
(2020) Automatically Detecting Bystanders in Photos to Reduce Privacy Risks.
In: IEEE Symposium on Security and Privacy (S&P).
Conference: SP IEEE Symposium on Security and Privacy

He, Yang and Rahimian, Shadi and Schiele, Bernt and Fritz, Mario
(2020) Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation.
In: European Conference on Computer Vision (ECCV).
Conference: ECCV European Conference on Computer Vision

He, Yang and Schiele, Bernt and Fritz, Mario
(2020) Synthetic Convolutional Features for Improved Semantic Segmentation.
In: Workshop on Assistive Computer Vision and Robotics at European Conference on Computer Vision (ECCV-Workshop).
Conference: ACVR International Workshop on Assistive Computer Vision and Robotics

L

Losch, Max and Fritz, Mario and Schiele, Bernt
(2020) Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.
In: German Conference on Patter Recognition (GCPR).
Conference: GCPR German Conference on Pattern Recognition

O

Oh, Seong Joon and Benenson, Rodrigo and Fritz, Mario and Schiele, Bernt
(2020) Person Recognition in Personal Photo Collections.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 42 (1). pp. 203-220.

Orekondy, Tribhuvanesh and Schiele, Bernt and Fritz, Mario
(2020) Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.
In: International Conference on Representation Learning (ICLR).
Conference: ICLR International Conference on Learning Representations

Orekondy, Tribhuvanesh and Schiele, Bernt and Fritz, Mario
(2020) Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks.
In: International Conference on Representation Learning (ICLR).
Conference: ICLR International Conference on Learning Representations

S

Salem, Ahmed and Bhattacharya, Apratim and Backes, Michael and Fritz, Mario and Zhang, Yang
(2020) Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.
In: USENIX Security Symposium.
Conference: USENIX-Security Usenix Security Symposium

Sattar, Hosnieh and Krombholz, Katharina and Pons-Moll, Gerard and Fritz, Mario
(2020) Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction.
In: Workshop on The Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security CVCOPS at European Conference on Computer Vision (ECCV-W).
Conference: ECCV European Conference on Computer Vision

Sattara, Hosnieh and Fritz, Mario and Bulling, Andreas
(2020) Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations.
Neurocomputing, 387. pp. 369-382. ISSN 0925-2312

Sharma, Saurabh and Yu, Ning and Fritz, Mario and Schiele, Bernt
(2020) Long-Tailed Recognition Using Class-Balanced Experts.
In: German Conference on Pattern Recognition (GCPR).
Conference: GCPR German Conference on Pattern Recognition

Shetty, Rakshith and Fritz, Mario and Schiele, Bernt
(2020) Towards Automated Testing and Robustification by Semantic Adversarial Data Generation.
In: European Conference on Computer Vision (ECCV).
Conference: ECCV European Conference on Computer Vision

Y

Yu, Ning and Li, Ke and Zhou, Peng and Malik, Jitendra and Davis, Larry S. and Fritz, Mario
(2020) Inclusive GAN: Improving Data and Minority Coverage in Generative Models.
In: European Conference on Computer Vision (ECCV).
Conference: ECCV European Conference on Computer Vision

Yu, Ning and Skripniuk, Vladislav and Abdelnabi, Sahar and Fritz, Mario
(2020) Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.
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This list was generated on Fri Mar 29 11:20:26 2024 CET.