Alert button
Picture for Mario Fritz

Mario Fritz

Alert button

Backdoor Attacks on Network Certification via Data Poisoning

Aug 25, 2021
Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

Figure 1 for Backdoor Attacks on Network Certification via Data Poisoning
Figure 2 for Backdoor Attacks on Network Certification via Data Poisoning
Figure 3 for Backdoor Attacks on Network Certification via Data Poisoning
Figure 4 for Backdoor Attacks on Network Certification via Data Poisoning
Viaarxiv icon

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Jun 22, 2021
Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele

Figure 1 for Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Figure 2 for Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Figure 3 for Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Figure 4 for Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers
Viaarxiv icon

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

May 29, 2021
Yang He, Ning Yu, Margret Keuper, Mario Fritz

Figure 1 for Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Figure 2 for Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Figure 3 for Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Figure 4 for Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Viaarxiv icon

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Mar 31, 2021
Moritz Böhle, Mario Fritz, Bernt Schiele

Figure 1 for Convolutional Dynamic Alignment Networks for Interpretable Classifications
Figure 2 for Convolutional Dynamic Alignment Networks for Interpretable Classifications
Figure 3 for Convolutional Dynamic Alignment Networks for Interpretable Classifications
Figure 4 for Convolutional Dynamic Alignment Networks for Interpretable Classifications
Viaarxiv icon

Dual Contrastive Loss and Attention for GANs

Mar 31, 2021
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz

Figure 1 for Dual Contrastive Loss and Attention for GANs
Figure 2 for Dual Contrastive Loss and Attention for GANs
Figure 3 for Dual Contrastive Loss and Attention for GANs
Figure 4 for Dual Contrastive Loss and Attention for GANs
Viaarxiv icon

"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models

Mar 09, 2021
Sahar Abdelnabi, Mario Fritz

Figure 1 for "What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Figure 2 for "What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Figure 3 for "What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Figure 4 for "What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Viaarxiv icon

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Feb 04, 2021
Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

Figure 1 for ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Figure 2 for ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Figure 3 for ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Figure 4 for ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Viaarxiv icon

Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Dec 16, 2020
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz

Figure 1 for Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Figure 2 for Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Figure 3 for Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Figure 4 for Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Viaarxiv icon

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning

Dec 15, 2020
Yang He, Maximilian Zenk, Mario Fritz

Figure 1 for CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
Figure 2 for CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
Figure 3 for CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
Figure 4 for CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning
Viaarxiv icon