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Mario Fritz
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- affiliation: CISPA Helmholtz Center for Information Security, Saarland Informatics Campus, Germany
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2020 – today
- 2025
- [i148]Mario Fritz:
Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity? CoRR abs/2501.01435 (2025) - 2024
- [j17]Moritz Böhle
, Navdeeppal Singh
, Mario Fritz
, Bernt Schiele
:
B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4504-4518 (2024) - [j16]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. Proc. Priv. Enhancing Technol. 2024(3): 372-390 (2024) - [j15]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
A Unified View of Differentially Private Deep Generative Modeling. Trans. Mach. Learn. Res. 2024 (2024) - [c153]Mario Fritz
, Christoph Krauß
, Hans-Joachim Hof
:
CSCS '24 - Cyber Security in CarS Workshop. CCS 2024: 4914-4916 - [c152]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI 2024: 3947-3955 - [c151]Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz:
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. EMNLP 2024: 14633-14652 - [c150]Rebecca Weil, Sahar Abdelnabi, Mario Fritz, Rakibul Hasan:
Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources. EuroS&P Workshops 2024: 504-518 - [c149]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. ICDAR (6) 2024: 199-218 - [c148]Max Maria Losch, Mohamed Omran, David Stutz, Mario Fritz, Bernt Schiele:
On Adversarial Training without Perturbing all Examples. ICLR 2024 - [c147]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. ICML 2024 - [c146]Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz:
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. ICML 2024 - [c145]Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz:
Stealthy Imitation: Reward-guided Environment-free Policy Stealing. ICML 2024 - [c144]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. NAACL-HLT (Findings) 2024: 1400-1416 - [c143]Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz:
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. NAACL-HLT (Findings) 2024: 4737-4751 - [c142]Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz:
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation. NeurIPS 2024 - [c141]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. NeurIPS 2024 - [c140]Hui-Po Wang, Mario Fritz:
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models. NeurIPS 2024 - [c139]Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz:
CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models. SaTML 2024: 684-709 - [c138]Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang:
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. USENIX Security Symposium 2024 - [c137]Shadi Rahimian
, Raouf Kerkouche
, Ina Kurth
, Mario Fritz
:
Private and Collaborative Kaplan-Meier Estimators. WPES@CCS 2024: 212-241 - [e8]Mario Fritz, Christoph Krauß, Hans-Joachim Hof:
Proceedings of the 2024 on Cyber Security in CarS Workshop, CSCS 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-1232-6 [contents] - [i147]Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz:
Towards Biologically Plausible and Private Gene Expression Data Generation. CoRR abs/2402.04912 (2024) - [i146]Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz:
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. CoRR abs/2402.08400 (2024) - [i145]Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz:
Exploring Value Biases: How LLMs Deviate Towards the Ideal. CoRR abs/2402.11005 (2024) - [i144]Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz:
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. CoRR abs/2402.18216 (2024) - [i143]Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert:
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? CoRR abs/2403.06833 (2024) - [i142]Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz:
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. CoRR abs/2404.04722 (2024) - [i141]Zhixiong Zhuang, Maria-Irina Nicolae, Mario Fritz:
Stealthy Imitation: Reward-guided Environment-free Policy Stealing. CoRR abs/2405.07004 (2024) - [i140]Sahar Abdelnabi, Aideen Fay, Giovanni Cherubin, Ahmed Salem, Mario Fritz, Andrew Paverd:
Are you still on track!? Catching LLM Task Drift with Activations. CoRR abs/2406.00799 (2024) - [i139]Yuxuan Zhou, Mario Fritz, Margret Keuper:
MultiMax: Sparse and Multi-Modal Attention Learning. CoRR abs/2406.01189 (2024) - [i138]Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - [i137]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks. CoRR abs/2406.11522 (2024) - [i136]Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang:
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR abs/2408.11046 (2024) - [i135]Yuxuan Zhou, Margret Keuper, Mario Fritz:
Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. CoRR abs/2408.13586 (2024) - [i134]Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz:
Hypothesizing Missing Causal Variables with LLMs. CoRR abs/2409.02604 (2024) - [i133]Hossein Hajipour, Lea Schönherr, Thorsten Holz, Mario Fritz:
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data. CoRR abs/2409.06446 (2024) - [i132]Hui-Po Wang, Mario Fritz:
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models. CoRR abs/2409.17836 (2024) - [i131]Volker Strobel, Marco Dorigo, Mario Fritz:
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs. CoRR abs/2410.11387 (2024) - [i130]Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz:
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. CoRR abs/2410.15828 (2024) - [i129]Ivaxi Sheth, Bahare Fatemi, Mario Fritz:
CausalGraph2LLM: Evaluating LLMs for Causal Queries. CoRR abs/2410.15939 (2024) - [i128]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 Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. CoRR abs/2411.03730 (2024) - [i127]Zhi-Yi Chin, Kuan-Chen Mu, Mario Fritz, Pin-Yu Chen, Wei-Chen Chiu:
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models. CoRR abs/2411.16769 (2024) - [i126]Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz:
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators. CoRR abs/2412.02467 (2024) - [i125]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
BiCert: A Bilinear Mixed Integer Programming Formulation for Precise Certified Bounds Against Data Poisoning Attacks. CoRR abs/2412.10186 (2024) - 2023
- [j14]Moritz Böhle
, Mario Fritz
, Bernt Schiele
:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7625-7638 (2023) - [c136]Giada Stivala
, Sahar Abdelnabi
, Andrea Mengascini
, Mariano Graziano
, Mario Fritz
, Giancarlo Pellegrino
:
From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! ACSAC 2023: 14-28 - [c135]Tobias Lorenz
, Marta Kwiatkowska
, Mario Fritz
:
Certifiers Make Neural Networks Vulnerable to Availability Attacks. AISec@CCS 2023: 67-78 - [c134]Sahar Abdelnabi
, Kai Greshake
, Shailesh Mishra
, Christoph Endres
, Thorsten Holz
, Mario Fritz
:
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. AISec@CCS 2023: 79-90 - [c133]Tejumade Afonja
, Dingfan Chen
, Mario Fritz
:
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. DAGM 2023: 524-537 - [c132]Max Maria Losch, David Stutz
, Bernt Schiele
, Mario Fritz
:
Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM 2023: 574-588 - [c131]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. USENIX Security Symposium 2023: 6719-6736 - [c130]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang:
UnGANable: Defending Against GAN-based Face Manipulation. USENIX Security Symposium 2023: 7213-7230 - [c129]Raouf Kerkouche
, Gergely Ács
, Mario Fritz
:
Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS 2023: 45-60 - [e7]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023. ACM 2023 [contents] - [i124]Moritz Böhle, Mario Fritz, Bernt Schiele
:
Holistically Explainable Vision Transformers. CoRR abs/2301.08669 (2023) - [i123]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR abs/2302.01068 (2023) - [i122]Hossein Hajipour, Thorsten Holz, Lea Schönherr, Mario Fritz:
Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models. CoRR abs/2302.04012 (2023) - [i121]Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz:
Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. CoRR abs/2302.07801 (2023) - [i120]Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz:
More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models. CoRR abs/2302.12173 (2023) - [i119]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR abs/2303.03908 (2023) - [i118]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Private and Collaborative Kaplan-Meier Estimators. CoRR abs/2305.15359 (2023) - [i117]Protik Bose Pranto, Waqar Hassan Khan, Sahar Abdelnabi, Rebecca Weil, Mario Fritz, Rakibul Hasan:
From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency. CoRR abs/2306.04883 (2023) - [i116]Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
:
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers. CoRR abs/2306.10898 (2023) - [i115]Tejumade Afonja, Dingfan Chen, Mario Fritz:
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. CoRR abs/2307.07997 (2023) - [i114]Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino:
A Large-Scale Study of Phishing PDF Documents. CoRR abs/2308.01273 (2023) - [i113]Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. CoRR abs/2309.06166 (2023) - [i112]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
A Unified View of Differentially Private Deep Generative Modeling. CoRR abs/2309.15696 (2023) - [i111]Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz:
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. CoRR abs/2309.17234 (2023) - [i110]Sarath Sivaprasad, Mario Fritz:
Going Beyond Familiar Features for Deep Anomaly Detection. CoRR abs/2310.00797 (2023) - [i109]Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang:
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. CoRR abs/2310.12665 (2023) - [i108]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. CoRR abs/2312.10108 (2023) - 2022
- [j13]Rakibul Hasan, Mario Fritz:
Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring. Proc. Priv. Enhancing Technol. 2022(2): 245-262 (2022) - [c128]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CHIL 2022: 411-425 - [c127]Moritz Böhle, Mario Fritz, Bernt Schiele
:
B-cos Networks: Alignment is All We Need for Interpretability. CVPR 2022: 10319-10328 - [c126]Sahar Abdelnabi, Rakibul Hasan
, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CVPR 2022: 14920-14929 - [c125]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR 2022 - [c124]Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz:
Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR 2022 - [c123]Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz:
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. ICML 2022: 23034-23054 - [c122]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. NeurIPS 2022 - [c121]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. USENIX Security Symposium 2022: 4525-4542 - [e6]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Computer Science in Cars Symposium, CSCS 2022, Ingolstadt, Germany, 8 December 2022. ACM 2022, ISBN 978-1-4503-9786-5 [contents] - [i107]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CoRR abs/2202.03758 (2022) - [i106]Moritz Böhle, Mario Fritz, Bernt Schiele
:
B-cos Networks: Alignment is All We Need for Interpretability. CoRR abs/2205.10268 (2022) - [i105]Dingfan Chen, Ning Yu, Mario Fritz:
RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR abs/2207.05801 (2022) - [i104]Sahar Abdelnabi, Mario Fritz:
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. CoRR abs/2209.03755 (2022) - [i103]Zheng Li, Ning Yu, Ahmed Salem, Michael Backes, Mario Fritz, Yang Zhang
:
UnGANable: Defending Against GAN-based Face Manipulation. CoRR abs/2210.00957 (2022) - [i102]Hossein Hajipour, Ning Yu, Cristian-Alexandru Staicu, Mario Fritz:
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. CoRR abs/2210.04802 (2022) - [i101]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. CoRR abs/2211.04446 (2022) - 2021
- [j12]Max Maria Losch, Mario Fritz, Bernt Schiele
:
Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. Int. J. Comput. Vis. 129(11): 3136-3153 (2021) - [c120]Sahar Abdelnabi, Mario Fritz:
What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. MTD@CCS 2021: 3-12 - [c119]Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz:
Differential Privacy Defenses and Sampling Attacks for Membership Inference. AISec@CCS 2021: 193-202 - [c118]Hui-Po Wang, Tribhuvanesh Orekondy, Mario Fritz:
InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. CVPR Workshops 2021: 3281-3289 - [c117]Lucjan Hanzlik, Yang Zhang
, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops 2021: 3300-3309 - [c116]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele
:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CVPR 2021: 6408-6417 - [c115]Hui-Po Wang, Ning Yu, Mario Fritz:
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. CVPR 2021: 7872-7881 - [c114]Moritz Böhle, Mario Fritz, Bernt Schiele
:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR 2021: 10029-10038 - [c113]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c112]Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz:
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. ICCV 2021: 14428-14437 - [c111]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. IJCAI 2021: 2534-2541 - [c110]Hossein Hajipour
, Apratim Bhattacharyya
, Cristian-Alexandru Staicu
, Mario Fritz
:
SampleFix: Learning to Generate Functionally Diverse Fixes. PKDD/ECML Workshops (2) 2021: 119-133 - [c109]Hossein Hajipour
, Mateusz Malinowski
, Mario Fritz
:
IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. PKDD/ECML Workshops (2) 2021: 143-157 - [c108]Sahar Abdelnabi, Mario Fritz:
Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. SP 2021: 121-140 - [c107]Qiuhong Ke, Mario Fritz, Bernt Schiele
:
Future Moment Assessment for Action Query. WACV 2021: 3218-3227 - [e5]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
CSCS '21: Computer Science in Cars Symposium, Ingolstadt, Germany, 30 November 2021. ACM 2021, ISBN 978-1-4503-9139-9 [contents] - [i100]Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang:
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. CoRR abs/2102.02551 (2021) - [i99]Sahar Abdelnabi, Mario Fritz:
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. CoRR abs/2102.05104 (2021) - [i98]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i97]Moritz Böhle, Mario Fritz, Bernt Schiele:
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR abs/2104.00032 (2021) - [i96]Yang He, Ning Yu, Margret Keuper, Mario Fritz:
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. CoRR abs/2105.14376 (2021) - [i95]Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele:
Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. CoRR abs/2106.12442 (2021) - [i94]Tobias Lorenz, Marta Kwiatkowska, Mario Fritz:
Backdoor Attacks on Network Certification via Data Poisoning. CoRR abs/2108.11299 (2021) - [i93]Moritz Böhle, Mario Fritz, Bernt Schiele:
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR abs/2109.13004 (2021) - [i92]Hui-Po Wang, Sebastian U. Stich, Yang He, Mario Fritz:
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. CoRR abs/2110.05323 (2021) - [i91]Sahar Abdelnabi, Rakibul Hasan, Mario Fritz:
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. CoRR abs/2112.00061 (2021) - 2020
- [j11]Thomas Brox, Mario Fritz:
Editor's Note. Int. J. Comput. Vis. 128(4): 969 (2020) - [j10]Hosnieh Sattar
, Mario Fritz, Andreas Bulling
:
Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations. Neurocomputing 387: 369-382 (2020) - [j9]