Mario Fritz

Deepfake Detection that Generalizes Across Benchmarks WACV 2026 Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs EACL 2026 CausalGraph2LLM: Evaluating LLMs for Causal Queries NAACL 2025 Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables EMNLP 2025 Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR 2025 Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches EMNLP 2025 Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment AAAI 2025 Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation ACL 2025 A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive ACL 2025 Automated Detection of Abnormalities in Zebrafish Development MICCAI 2025 Stealix: Model Stealing via Prompt Evolution ICML 2025 Pixel-level Certified Explanations via Randomized Smoothing ICML 2025 DocMIA: Document-Level Membership Inference Attacks against DocVQA Models ICLR 2025 PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics NAACL 2024 SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models NAACL 2024 On Adversarial Training without Perturbing all Examples ICLR 2024 Stealthy Imitation: Reward-guided Environment-free Policy Stealing ICML 2024 Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition NIPS 2024 Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NIPS 2024 Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation NIPS 2024 LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History EMNLP 2024 MultiMax: Sparse and Multi-Modal Attention Learning ICML 2024 Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing ICML 2024 RelaxLoss: Defending Membership Inference Attacks without Losing Utility ICLR 2022 Private Set Generation with Discriminative Information NIPS 2022 ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training ICML 2022 Responsible Disclosure of Generative Models Using Scalable Fingerprinting ICLR 2022 B-Cos Networks: Alignment Is All We Need for Interpretability CVPR 2022 Open-Domain, Content-Based, Multi-Modal Fact-Checking of Out-of-Context Images via Online Resources CVPR 2022 Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs CVPR 2021 Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers CVPR 2021 Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data ICCV 2021 Dual Contrastive Loss and Attention for GANs ICCV 2021 Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis IJCAI 2021 Convolutional Dynamic Alignment Networks for Interpretable Classifications CVPR 2021 Future Moment Assessment for Action Query WACV 2021 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NIPS 2020 Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks ICLR 2020 Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing CVPR 2020 Normalizing Flows With Multi-Scale Autoregressive Priors CVPR 2020 Inclusive GAN: Improving Data and Minority Coverage in Generative Models ECCV 2020 Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation ECCV 2020 Towards Automated Testing and Robustification by Semantic Adversarial Data Generation ECCV 2020 Time-Conditioned Action Anticipation in One Shot CVPR 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Not Using the Car to See the Sidewalk -- Quantifying and Controlling the Effects of Context in Classification and Segmentation CVPR 2019 Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints ICCV 2019 Deep Appearance Maps ICCV 2019 Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods ICLR 2019 Towards Reverse-Engineering Black-Box Neural Networks ICLR 2018 Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty CVPR 2018 Adversarial Scene Editing: Automatic Object Removal from Weak Supervision NIPS 2018 Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018 Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images CVPR 2018 Natural and Effective Obfuscation by Head Inpainting CVPR 2018 Disentangled Person Image Generation CVPR 2018 A Hybrid Model for Identity Obfuscation by Face Replacement ECCV 2018 Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes ECCV 2018 STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling CVPR 2017 Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective ICCV 2017 Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images ICCV 2017 Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training ICCV 2017 What Is Around the Camera? ICCV 2017 A Domain Based Approach to Social Relation Recognition CVPR 2017 Exploiting Saliency for Object Segmentation From Image Level Labels CVPR 2017 Multi-Cue Zero-Shot Learning With Strong Supervision CVPR 2016 Deep Reflectance Maps CVPR 2016 See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG ICCV 2015 Appearance-Based Gaze Estimation in the Wild CVPR 2015 Prediction of Search Targets From Fixations in Open-World Settings CVPR 2015 Ask Your Neurons: A Neural-Based Approach to Answering Questions About Images ICCV 2015 Person Recognition in Personal Photo Collections ICCV 2015 Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models CVPR 2014 A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NIPS 2014 Anytime Recognition of Objects and Scenes CVPR 2014 Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling ICCV 2013 Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013 Timely Object Recognition NIPS 2012 Size Matters: Metric Visual Search Constraints from Monocular Metadata NIPS 2010 An Additive Latent Feature Model for Transparent Object Recognition NIPS 2009