Fritz, Mario

104 publications

ICLR 2025 Can LLMs Separate Instructions from Data? and What Do We Even Mean by That? Egor Zverev, Sahar Abdelnabi, Soroush Tabesh, Mario Fritz, Christoph H. Lampert

TMLR 2025 DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz

ICLR 2025 DocMIA: Document-Level Membership Inference Attacks Against DocVQA Models Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas

ICLRW 2025 LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs – Evaluation Through Synthetic Data Generation Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Shubhi Ambast, Charles Mwangi Kaumbutha, Matthias Becker, Mario Fritz

NeurIPS 2025 MIBP-Cert: Certified Training Against Data Perturbations with Mixed-Integer Bilinear Programs Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

NeurIPS 2025 MaxSup: Overcoming Representation Collapse in Label Smoothing Yuxuan Zhou, Heng Li, Zhi-Qi Cheng, Xudong Yan, Yifei Dong, Mario Fritz, Margret Keuper

AAAI 2025 Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment Yaling Shen, Zhixiong Zhuang, Kun Yuan, Maria-Irina Nicolae, Nassir Navab, Nicolas Padoy, Mario Fritz

TMLR 2025 NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

ICML 2025 Pixel-Level Certified Explanations via Randomized Smoothing Alaa Anani, Tobias Lorenz, Mario Fritz, Bernt Schiele

ICLRW 2025 Safety Is Essential for Responsible Open-Ended Systems Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz

ICML 2025 Stealix: Model Stealing via Prompt Evolution Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz

TMLR 2025 Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz

TMLR 2024 A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen, Raouf Kerkouche, Mario Fritz

ICML 2024 Adaptive Hierarchical Certification for Segmentation Using Randomized Smoothing Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz

ICLRW 2024 Can LLMs Separate Instructions from Data? and What Do We Even Mean by That? Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert

NeurIPSW 2024 CausalGraph2LLM: Evaluating LLMs for Causal Queries Ivaxi Sheth, Bahare Fatemi, Mario Fritz

NeurIPS 2024 Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz

NeurIPS 2024 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr

NeurIPSW 2024 Hypothesizing Missing Causal Variables with LLMs Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz

ICMLW 2024 LLM Sample: Part Average and Part Ideal Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz

ICMLW 2024 LLM Task Interference: Impact of Task-Switch in Conversational History Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz

ICLRW 2024 LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Game Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz

NeurIPSW 2024 LLM2Swarm: Robot Swarms That Responsively Reason, Plan, and Collaborate Through LLMs Volker Strobel, Marco Dorigo, Mario Fritz

NeurIPS 2024 Language Models as Zero-Shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models Hui-Po Wang, Mario Fritz

ICML 2024 MultiMax: Sparse and Multi-Modal Attention Learning Yuxuan Zhou, Mario Fritz, Margret Keuper

ICLR 2024 On Adversarial Training Without Perturbing All Examples Max Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele

ICML 2024 Stealthy Imitation: Reward-Guided Environment-Free Policy Stealing Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz

ICMLW 2023 MargCTGAN: A ``Marginally'' Better CTGAN for the Low Sample Regime Tejumade Afonja, Dingfan Chen, Mario Fritz

CVPR 2022 B-Cos Networks: Alignment Is All We Need for Interpretability Moritz Böhle, Mario Fritz, Bernt Schiele

NeurIPSW 2022 Class-Wise Domain Generalization: A Novel Framework for Evaluating Distributional Shift Sarath Sivaprasad, Akshay Goindani, Mario Fritz, Vineet Gandhi

CVPR 2022 Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources Sahar Abdelnabi, Rakibul Hasan, Mario Fritz

CHIL 2022 Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

NeurIPS 2022 Private Set Generation with Discriminative Information Dingfan Chen, Raouf Kerkouche, Mario Fritz

ICML 2022 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training Hui-Po Wang, Sebastian Stich, Yang He, Mario Fritz

ICLR 2022 RelaxLoss: Defending Membership Inference Attacks Without Losing Utility Dingfan Chen, Ning Yu, Mario Fritz

ICLR 2022 Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz

ICCV 2021 Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz

IJCAI 2021 Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis Yang He, Ning Yu, Margret Keuper, Mario Fritz

CVPR 2021 Convolutional Dynamic Alignment Networks for Interpretable Classifications Moritz Bohle, Mario Fritz, Bernt Schiele

ICCV 2021 Dual Contrastive Loss and Attention for GANs Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry S. Davis, Mario Fritz

CVPR 2021 Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele

WACV 2021 Future Moment Assessment for Action Query Qiuhong Ke, Mario Fritz, Bernt Schiele

CVPR 2021 Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs Hui-Po Wang, Ning Yu, Mario Fritz

CVPRW 2021 InfoScrub: Towards Attribute Privacy by Targeted Obfuscation Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz

CVPRW 2021 MLCapsule: Guarded Offline Deployment of Machine Learning as a Service Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz

ECCVW 2020 Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz

NeurIPS 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz

NeurIPSW 2020 IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis Hossein Hajipour, Mateusz Malinowski, Mario Fritz

ECCV 2020 Inclusive GAN: Improving Data and Minority Coverage in Generative Models Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz

ICLR 2020 Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

NeurIPSW 2020 SampleFix: Learning to Correct Programs by Efficient Sampling of Diverse Fixes Hossein Hajipour, Apratim Bhattacharyya, Mario Fritz

ECCV 2020 Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz

ECCVW 2020 Synthetic Convolutional Features for Improved Semantic Segmentation Yang He, Bernt Schiele, Mario Fritz

ECCV 2020 Towards Automated Testing and Robustification by Semantic Adversarial Data Generation Rakshith Shetty, Mario Fritz, Bernt Schiele

ICLR 2019 Bayesian Prediction of Future Street Scenes Using Synthetic Likelihoods Apratim Bhattacharyya, Mario Fritz, Bernt Schiele

WACV 2019 Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape from Online Sources Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz

ECCV 2018 A Hybrid Model for Identity Obfuscation by Face Replacement Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt, Bernt Schiele

NeurIPS 2018 Adversarial Scene Editing: Automatic Object Removal from Weak Supervision Rakshith R Shetty, Mario Fritz, Bernt Schiele

ECCVW 2018 Answering Visual What-if Questions: From Actions to Predicted Scene Descriptions Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis

ECCV 2018 Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes Yang He, Bernt Schiele, Mario Fritz

AAAI 2018 Long-Term Image Boundary Prediction Apratim Bhattacharyya, Mateusz Malinowski, Bernt Schiele, Mario Fritz

ICLR 2018 Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele

ECCVW 2018 Workshop on Interactive and Adaptive Learning in an Open World Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner

CVPR 2017 A Domain Based Approach to Social Relation Recognition Qianru Sun, Bernt Schiele, Mario Fritz

ICCV 2017 Adversarial Image Perturbation for Privacy Protection -- a Game Theory Perspective Seong Joon Oh, Mario Fritz, Bernt Schiele

CVPR 2017 Exploiting Saliency for Object Segmentation from Image Level Labels Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele

CVPRW 2017 It's Written All over Your Face: Full-Face Appearance-Based Gaze Estimation Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

ICCVW 2017 Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling Hosnieh Sattar, Andreas Bulling, Mario Fritz

CVPR 2017 STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling Yang He, Wei-Chen Chiu, Margret Keuper, Mario Fritz

ICCV 2017 Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele

ICCV 2017 Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz

ICCV 2017 What Is Around the Camera? Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool

CVPR 2016 Deep Reflectance Maps Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars

ECCV 2016 Faceless Person Recognition: Privacy Implications in Social Media Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele

CVPR 2016 Multi-Cue Zero-Shot Learning with Strong Supervision Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele

WACV 2016 Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li, Mario Fritz

ECCV 2016 VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Abhishek Sharma, Oliver Grau, Mario Fritz

ECCVW 2016 VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Abhishek Sharma, Oliver Grau, Mario Fritz

CVPR 2015 Appearance-Based Gaze Estimation in the Wild Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling

ICCV 2015 Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images Mateusz Malinowski, Marcus Rohrbach, Mario Fritz

ICCV 2015 Person Recognition in Personal Photo Collections Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele

CVPR 2015 Prediction of Search Targets from Fixations in Open-World Settings Hosnieh Sattar, Sabine Muller, Mario Fritz, Andreas Bulling

ICCV 2015 See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG Wei-Chen Chiu, Mario Fritz

NeurIPS 2014 A Multi-World Approach to Question Answering About Real-World Scenes Based on Uncertain Input Mateusz Malinowski, Mario Fritz

CVPR 2014 Anytime Recognition of Objects and Scenes Sergey Karayev, Mario Fritz, Trevor Darrell

CVPR 2014 Image-Based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars

ICLR 2013 Learnable Pooling Regions for Image Classification Mateusz Malinowski, Mario Fritz

CVPR 2013 Multi-Class Video Co-Segmentation with a Generative Multi-Video Model Wei-Chen Chiu, Mario Fritz

ICCV 2013 Sequential Bayesian Model Update Under Structured Scene Prior for Semantic Road Scenes Labeling Evgeny Levinkov, Mario Fritz

CVPR 2012 RALF: A Reinforced Active Learning Formulation for Object Class Recognition Sandra Ebert, Mario Fritz, Bernt Schiele

ECCV 2012 Recognizing Materials from Virtual Examples Wenbin Li, Mario Fritz

ECCV 2012 Sparselet Models for Efficient Multiclass Object Detection Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christopher Geyer, Pedro F. Felzenszwalb, Trevor Darrell

NeurIPS 2012 Timely Object Recognition Sergey Karayev, Tobias Baumgartner, Mario Fritz, Trevor Darrell

CVPR 2011 A Probabilistic Model for Recursive Factorized Image Features Sergey Karayev, Mario Fritz, Sanja Fidler, Trevor Darrell

ICCV 2011 The NBNN Kernel Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell

ECCV 2010 Adapting Visual Category Models to New Domains Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell

NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata Mario Fritz, Kate Saenko, Trevor Darrell

NeurIPS 2009 An Additive Latent Feature Model for Transparent Object Recognition Mario Fritz, Gary Bradski, Sergey Karayev, Trevor Darrell, Michael J. Black

CVPR 2009 Discriminative Structure Learning of Hierarchical Representations for Object Detection Paul Schnitzspan, Mario Fritz, Stefan Roth, Bernt Schiele

CVPR 2008 Decomposition, Discovery and Detection of Visual Categories Using Topic Models Mario Fritz, Bernt Schiele

ECCV 2008 Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features Paul Schnitzspan, Mario Fritz, Bernt Schiele

CVPR 2007 Towards Robust Pedestrian Detection in Crowded Image Sequences Edgar Seemann, Mario Fritz, Bernt Schiele

ICCV 2005 Integrating Representative and Discriminative Models for Object Category Detection Mario Fritz, Bastian Leibe, Barbara Caputo, Bernt Schiele

ECCV 2004 On the Significance of Real-World Conditions for Material Classification Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof Eklundh