| The limitations of deep learning in adversarial settings N Papernot, P McDaniel, S Jha, M Fredrikson, ZB Celik, A Swami 2016 IEEE European symposium on security and privacy (EuroS&P), 372-387, 2016 | 4970 | 2016 |
| Model inversion attacks that exploit confidence information and basic countermeasures M Fredrikson, S Jha, T Ristenpart Proceedings of the 22nd ACM SIGSAC conference on computer and communications …, 2015 | 3247 | 2015 |
| Privacy risk in machine learning: Analyzing the connection to overfitting S Yeom, I Giacomelli, M Fredrikson, S Jha 2018 IEEE 31st Computer Security Foundations Symposium (CSF), 2018 | 1182 | 2018 |
| Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing M Fredrikson, E Lantz, S Jha, S Lin, D Page, T Ristenpart USENIX Security Symposium, 17-32, 2014 | 1080 | 2014 |
| Universal and transferable adversarial attacks on aligned language models A Zou, Z Wang, N Carlini, M Nasr, JZ Kolter, M Fredrikson arXiv preprint arXiv:2307.15043, 2023 | 709 | 2023 |
| Synthesizing near-optimal malware specifications from suspicious behaviors M Fredrikson, S Jha, M Christodorescu, R Sailer, X Yan 2010 IEEE Symposium on Security and Privacy, 45-60, 2010 | 295 | 2010 |
| Stolen memories: Leveraging model memorization for calibrated {White-Box} membership inference K Leino, M Fredrikson 29th USENIX security symposium (USENIX Security 20), 1605-1622, 2020 | 276 | 2020 |
| Cyber SA: Situational awareness for cyber defense P Barford, M Dacier, TG Dietterich, M Fredrikson, J Giffin, S Jajodia, S Jha, ... Cyber Situational Awareness: Issues and Research, 3-13, 2010 | 200 | 2010 |
| A methodology for formalizing model-inversion attacks X Wu, M Fredrikson, S Jha, JF Naughton 2016 IEEE 29th computer security foundations symposium (CSF), 355-370, 2016 | 197 | 2016 |
| On the Practical Exploitability of Dual EC DRBG in TLS Implementations S Checkoway, M Fredrikson, R Niederhagen, M Green, T Lange, ... USENIX Security Symposium, 319-335, 2014 | 195* | 2014 |
| A layered architecture for detecting malicious behaviors L Martignoni, E Stinson, M Fredrikson, S Jha, JC Mitchell International Symposium on Recent Advances in Intrusion Detection, 78-97, 2008 | 183 | 2008 |
| Repriv: Re-imagining content personalization and in-browser privacy M Fredrikson, B Livshits 2011 IEEE Symposium on Security and Privacy, 131-146, 2011 | 175* | 2011 |
| Verified security for browser extensions A Guha, M Fredrikson, B Livshits, N Swamy 2011 IEEE symposium on security and privacy, 115-130, 2011 | 167 | 2011 |
| Representation engineering: A top-down approach to ai transparency A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ... arXiv preprint arXiv:2310.01405, 2023 | 166 | 2023 |
| Globally-robust neural networks K Leino, Z Wang, M Fredrikson International Conference on Machine Learning, 6212-6222, 2021 | 145 | 2021 |
| Fliptest: fairness testing via optimal transport E Black, S Yeom, M Fredrikson Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 106 | 2020 |
| Mining graph patterns efficiently via randomized summaries C Chen, CX Lin, M Fredrikson, M Christodorescu, X Yan, J Han Proceedings of the VLDB Endowment 2 (1), 742-753, 2009 | 100 | 2009 |
| Influence-directed explanations for deep convolutional networks K Leino, S Sen, A Datta, M Fredrikson, L Li 2018 IEEE international test conference (ITC), 1-8, 2018 | 89 | 2018 |
| Proxy non-discrimination in data-driven systems A Datta, M Fredrikson, G Ko, P Mardziel, S Sen arXiv preprint arXiv:1707.08120, 2017 | 73 | 2017 |
| Why are they collecting my data? inferring the purposes of network traffic in mobile apps H Jin, M Liu, K Dodhia, Y Li, G Srivastava, M Fredrikson, Y Agarwal, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 64 | 2018 |
Somesh JhaLubar Chair of Computer Science, University of WisconsinZweryfikowany adres z cs.wisc.edu
