← Authors

Mario Fritz

80 papers · 2009–2026 · 14 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (16) 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (25) 🌟 Keyword Trendsetter Combo (9) 🀝 Dynamic Duo (31) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Grand Slam πŸ‘₯ Mega-Team (21) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (310) ⚑ Prolific Year (10) πŸ’Ž Century Club (79) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11)

Conferences

CVPR (25) ICCV (12) NIPS (10) ICLR (8) ICML (6) ECCV (5) EMNLP (3) NAACL (3) ACL (2) WACV (2) AAAI (1) EACL (1) IJCAI (1) MICCAI (1)

Top co-authors

Bernt Schiele (31) Ning Yu (9) Sahar Abdelnabi (7) Yang He (5) Seong Joon Oh (5) Hui-Po Wang (5) Tribhuvanesh Orekondy (5) Apratim Bhattacharyya (5) Dingfan Chen (5) Ivaxi Sheth (4)

Research topics

Differential Privacy (2) Privacy (1)

Keywords

large language model (8) generative adversarial network (7) image generation (6) generative model (5) convolutional neural network (5) visual question answering (4) semantic segmentation (4) image classification (3) zero-shot learning (3) causal inference (3) latent space (3) deepfake detection (3) scene understanding (3) metric learning (2) federated learning (2) object detection (2) text generation (2) reinforcement learning (2) object recognition (2) variational inference (2)

Papers

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 β€œBest 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