Items where Author is "Fritz, Mario"

(2024) SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. (In Press)

(2023) Certifiers Make Neural Networks Vulnerable to Availability Attacks. (In Press)

(2023) From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! (In Press)

(2023) Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. (In Press)

(2023) UnGANable: Defending Against GAN-based Face Manipulation.

(2022) Private Set Generation with Discriminative Information.

(2022) ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.

(2022) ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training.

(2022) B-Cos Networks: Alignment Is All We Need for Interpretability.

(2022) Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources.

(2022) RelaxLoss: Defending Membership Inference Attacks without Losing Utility.

(2022) Responsible Disclosure of Generative Models Using Scalable Fingerprinting.

(2022) Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data.

(2022) Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring.

(2021) Differential Privacy Defenses and Sampling Attacks for Membership Inference.

(2021) "What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models.

(2021) Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.

(2021) Dual Contrastive Loss and Attention for GANs.

(2021) IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis.

(2021) SampleFix: Learning to Generate Functionally Diverse Fixes.

(2021) SampleFix: Learning to Generate Functionally Diverse Fixes. (Submitted)

(2021) Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.

(2021) Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.

(2021) Privacy considerations for sharing genomics data.

(2021) InfoScrub: Towards Attribute Privacy by Targeted Obfuscation.

(2021) Convolutional Dynamic Alignment Networks for Interpretable Classifications.

(2021) Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers.

(2021) Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs.

(2021) MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.

(2021) Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding.

(2021) Future Moment Assessment for Action Query.

(2020) SampleFix: Learning to Correct Programs by Sampling Diverse Fixes.

(2020) GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.

(2020) GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.

(2020) VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity.

(2020) Haar Wavelet based Block Autoregressive Flows for Trajectories.

(2020) Long-Tailed Recognition Using Class-Balanced Experts.

(2020) Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations.

(2020) Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction.

(2020) Synthetic Convolutional Features for Improved Semantic Segmentation.

(2020) Inclusive GAN: Improving Data and Minority Coverage in Generative Models.

(2020) Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation.

(2020) Towards Automated Testing and Robustification by Semantic Adversarial Data Generation.

(2020) Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning.

(2020) Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data.

(2020) IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis.

(2020) Normalizing Flows with Multi-scale Autoregressive Priors.

(2020) Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing.

(2020) Automatically Detecting Bystanders in Photos to Reduce Privacy Risks.

(2020) Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks.

(2020) Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations.

(2020) Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks.

(2020) Person Recognition in Personal Photo Collections.

(2019) Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints.

(2019) Deep Appearance Maps.

(2019) ACM Computer Science in Cars Symposium.

(2019) Towards Reverse-Engineering Black-Box Neural Networks.

(2019) Knockoff Nets: Stealing Functionality of Black-Box Models.

(2019) Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation.

(2019) Time-Conditioned Action Anticipation in One Shot.

(2019) Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings.

(2019) ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

(2019) MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation.

(2019) Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods.

(2019) Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources.

(2018) Adversarial Scene Editing: Automatic Object Removal from Weak Supervision.

(2018) A Hybrid Model for Identity Obfuscation by Face Replacement.

(2018) Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes.

(2018) Sequential Attacks on Agents for Long-Term Adversarial Goals. (In Press)

(2018) A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.

(2018) MLCapsule: Guarded Offline Deployment of Machine Learning as a Service.

(2018) Long-Term Image Boundary Prediction.

(2018) Advanced Steel Microstructural Classification by Deep Learning Methods.

(2018) Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective.

(2018) Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions.

(2018) Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.

(2018) Deep Appearance Maps.

(2018) Disentangled Person Image Generation.

(2018) A Hybrid Model for Identity Obfuscation by Face Replacement.

(2018) Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty.

(2018) MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation.

(2018) Natural and Effective Obfuscation by Head Inpainting.

(2018) Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning.

(2018) Towards Reverse-Engineering Black-Box Neural Networks.

(2017) Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling.

(2017) Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective.

(2017) A Domain Based Approach to Social Relation Recognition.

(2017) Exploiting saliency for object segmentation from image level labels.

(2017) STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.

(2017) Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

(2017) A4NT : Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.

(2017) A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.

(2017) Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning.

(2017) Advanced Steel Microstructure Classification by Deep Learning Methods.

(2017) Adversarial Image Perturbation for Privacy Protection - A Game Theory Perspective.

(2017) Adversarial Image Perturbation for Privacy Protection — A Game Theory Perspective.

(2017) Ask Your Neurons: A Deep Learning Approach to Visual Question Answering.

(2017) Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images.

(2017) Disentangled Person Image Generation.

(2017) A Domain Based Approach to Social Relation Recognition.

(2017) Exploiting saliency for object segmentation from image level labels.

(2017) It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation.

(2017) Learning Dilation Factors for Semantic Segmentation of Street Scenes.

(2017) Learning Dilation Factors for Semantic Segmentation of Street Scenes.

(2017) Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty.

(2017) MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation.

(2017) Natural and Effective Obfuscation by Head Inpainting.

(2017) Novel Views of Objects from a Single Image.

(2017) Person Recognition in Social Media Photos.

(2017) Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

(2017) Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.

(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

(2017) Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images.

(2017) Visual Decoding of Targets During Visual Search From Human Eye Fixations.

(2017) Visual stability prediction for robotic manipulation.

(2017) What is Around the Camera?

(2017) Whitening Black-Box Neural Networks.

(2016) Demo: I-Pic: A Platform for Privacy-Compliant Image Capture.

(2016) Faceless Person Recognition: Privacy Implications in Social Media.

(2016) I-Pic: A Platform for Privacy-Compliant Image Capture.

(2016) Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling.

(2016) Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space.

(2016) Ask Your Neurons: A Deep Learning Approach to Visual Question Answering.

(2016) Contextual Media Retrieval Using Natural Language Queries.

(2016) DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination.

(2016) Deep Reflectance Maps.

(2016) Faceless Person Recognition; Privacy Implications in Social Media.

(2016) It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation.

(2016) Learning to Detect Visual Grasp Affordance.

(2016) Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM.

(2016) Long-Term Image Boundary Extrapolation.

(2016) Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task.

(2016) Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task.

(2016) Multi-Cue Zero-Shot Learning with Strong Supervision.

(2016) Multi-cue Zero-Shot Learning with Strong Supervision.

(2016) Natural Illumination from Multiple Materials Using Deep Learning.

(2016) Novel Views of Objects from a Single Image.

(2016) Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling.

(2016) RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.

(2016) Spatio-Temporal Image Boundary Extrapolation.

(2016) To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction.

(2016) Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles.

(2016) Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles.

(2016) Tutorial on Answering Questions about Images with Deep Learning.

(2016) VConv-DAE: Deep Volumetric Shape Learning Without Object Labels.

(2016) VConv-DAE: Deep Volumetric Shape Learning Without Object Labels.

(2016) Visual Stability Prediction and Its Application to Manipulation.

(2016) Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries.

(2015) Appearance-Based Gaze Estimation in the Wild.

(2015) Appearance-based gaze estimation in the wild.

(2015) Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images.

(2015) Ask Your Neurons: A Neural-based Approach to Answering Questions about Images.

(2015) Deep Reflectance Maps.

(2015) GazeDPM: Early Integration of Gaze Information in Deformable Part Models.

(2015) Hard to Cheat: A Turing Test based on Answering Questions about Images.

(2015) Joint segmentation and activity discovery using semantic and temporal priors.

(2015) Person Recognition in Personal Photo Collections.

(2015) Person Recognition in Personal Photo Collections.

(2015) Prediction of search targets from fixations in open-world settings.

(2015) Prediction of search targets from fixations in open-world settings.

(2015) See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG.

(2015) See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG.

(2015) Teaching robots the use of human tools from demonstration with non-dexterous end-effectors.

(2014) Bridging the Gap Between Digital Cryptography and the Physical World.

(2014) Ubic: Bridging the Gap between Digital Cryptography and the Physical World.

(2014) Anytime Recognition of Objects and Scenes.

(2014) Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models.

(2014) Learning Multi-Scale Representations for Material Classification.

(2014) A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.

(2014) A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input.

(2014) Object Disambiguation for Augmented Reality Applications.

(2014) A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation.

(2014) Towards a Visual Turing Challenge.

(2013) A Category-Level 3D Object Dataset: Putting the Kinect to Work.

(2013) Learnable Pooling Regions for Image Classification.

(2013) Learning Smooth Pooling Regions for Visual Recognition.

(2013) Multi-class Video Co-segmentation with a Generative Multi-video Model.

(2013) Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling.

(2012) Active Metric Learning for Object Recognition.

(2012) The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image.

(2012) RALF: A reinforced active learning formulation for object class recognition.

(2012) Recognizing Materials from Virtual Examples.

(2012) Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets.

(2012) Sparselet Models for Efficient Multiclass Object Detection.

(2012) Timely Object Recognition.

(2012) A geometric approach to robotic laundry folding.

(2011) I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns.

(2011) Improving the Kinect by Cross-Modal Stereo.

(2011) The NBNN kernel.

(2011) Parametrized shape models for clothing.

(2011) Perception for the manipulation of socks.

(2011) Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation.

(2011) Practical 3-D object detection using category and instance-level appearance models.

(2011) Visual grasp affordances from appearance-based cues.

(2011) A category-level 3-D object dataset: Putting the Kinect to work.

(2011) A probabilistic model for recursive factorized image features.