| Taintdroid: an information-flow tracking system for realtime privacy monitoring on smartphones W Enck, P Gilbert, S Han, V Tendulkar, BG Chun, LP Cox, J Jung, ... ACM Transactions on Computer Systems (TOCS) 32 (2), 1-29, 2014 | 4983 | 2014 |
| 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 | 4602 | 2016 |
| Practical black-box attacks against machine learning N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami Proceedings of the 2017 ACM on Asia conference on computer and …, 2017 | 3896 | 2017 |
| Distillation as a defense to adversarial perturbations against deep neural networks N Papernot, P McDaniel, X Wu, S Jha, A Swami 2016 IEEE symposium on security and privacy (SP), 582-597, 2016 | 3553 | 2016 |
| Ensemble adversarial training: Attacks and defenses F Tramèr, A Kurakin, N Papernot, I Goodfellow, D Boneh, P McDaniel arXiv preprint arXiv:1705.07204, 2017 | 3050 | 2017 |
| Flowdroid: Precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps S Arzt, S Rasthofer, C Fritz, E Bodden, A Bartel, J Klein, Y Le Traon, ... ACM sigplan notices 49 (6), 259-269, 2014 | 2596 | 2014 |
| Transferability in machine learning: from phenomena to black-box attacks using adversarial samples N Papernot, P McDaniel, I Goodfellow arXiv preprint arXiv:1605.07277, 2016 | 1919 | 2016 |
| Security and privacy challenges in the smart grid P McDaniel, S McLaughlin IEEE security & privacy 7 (3), 75-77, 2009 | 1535 | 2009 |
| On lightweight mobile phone application certification W Enck, M Ongtang, P McDaniel Proceedings of the 16th ACM conference on Computer and communications …, 2009 | 1479 | 2009 |
| A study of android application security. W Enck, D Octeau, PD McDaniel, S Chaudhuri USENIX security symposium 2 (2), 2011 | 1384 | 2011 |
| Understanding android security W Enck, M Ongtang, P McDaniel IEEE security & privacy 7 (1), 50-57, 2009 | 976 | 2009 |
| On the (statistical) detection of adversarial examples K Grosse, P Manoharan, N Papernot, M Backes, P McDaniel arXiv preprint arXiv:1702.06280, 2017 | 834 | 2017 |
| Secure attribute-based systems M Pirretti, P Traynor, P McDaniel, B Waters Proceedings of the 13th ACM conference on Computer and communications …, 2006 | 816 | 2006 |
| Semantically rich application‐centric security in Android M Ongtang, S McLaughlin, W Enck, P McDaniel Security and Communication Networks 5 (6), 658-673, 2012 | 776 | 2012 |
| Iccta: Detecting inter-component privacy leaks in android apps L Li, A Bartel, TF Bissyandé, J Klein, Y Le Traon, S Arzt, S Rasthofer, ... 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 759 | 2015 |
| Adversarial examples for malware detection K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel Computer Security–ESORICS 2017: 22nd European Symposium on Research in …, 2017 | 650 | 2017 |
| The space of transferable adversarial examples F Tramèr, N Papernot, I Goodfellow, D Boneh, P McDaniel arXiv preprint arXiv:1704.03453, 2017 | 606 | 2017 |
| Towards the science of security and privacy in machine learning N Papernot, P McDaniel, A Sinha, M Wellman arXiv preprint arXiv:1611.03814, 2016 | 583 | 2016 |
| An analysis of anonymity in bitcoin using p2p network traffic P Koshy, D Koshy, P McDaniel Financial Cryptography and Data Security: 18th International Conference, FC …, 2014 | 582 | 2014 |
| Effective {Inter-Component} communication mapping in android: An essential step towards holistic security analysis D Octeau, P McDaniel, S Jha, A Bartel, E Bodden, J Klein, Y Le Traon 22nd USENIX Security Symposium (USENIX Security 13), 543-558, 2013 | 571 | 2013 |
| Sok: Security and privacy in machine learning N Papernot, P McDaniel, A Sinha, MP Wellman 2018 IEEE European symposium on security and privacy (EuroS&P), 399-414, 2018 | 552 | 2018 |
| Deep k-nearest neighbors: Towards confident, interpretable and robust deep learning N Papernot, P McDaniel arXiv preprint arXiv:1803.04765, 2018 | 552 | 2018 |
| A survey of BGP security issues and solutions K Butler, TR Farley, P McDaniel, J Rexford Proceedings of the IEEE 98 (1), 100-122, 2009 | 522 | 2009 |
| Crafting adversarial input sequences for recurrent neural networks N Papernot, P McDaniel, A Swami, R Harang MILCOM 2016-2016 IEEE Military Communications Conference, 49-54, 2016 | 503 | 2016 |
| Practical black-box attacks against deep learning systems using adversarial examples N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami arXiv preprint arXiv:1602.02697 1 (2), 3, 2016 | 497 | 2016 |
| Adversarial perturbations against deep neural networks for malware classification K Grosse, N Papernot, P Manoharan, M Backes, P McDaniel arXiv preprint arXiv:1606.04435, 2016 | 489 | 2016 |
| Making machine learning robust against adversarial inputs I Goodfellow, P McDaniel, N Papernot Communications of the ACM 61 (7), 56-66, 2018 | 427 | 2018 |
| Energy theft in the advanced metering infrastructure S McLaughlin, D Podkuiko, P McDaniel Critical Information Infrastructures Security: 4th International Workshop …, 2010 | 401 | 2010 |
| Technical report on the cleverhans v2. 1.0 adversarial examples library N Papernot, F Faghri, N Carlini, I Goodfellow, R Feinman, A Kurakin, ... arXiv preprint arXiv:1610.00768, 2016 | 390 | 2016 |
| Working around BGP: an incremental approach to improving security and accuracy in interdomain routing. G Goodell, W Aiello, T Griffin, J Ioannidis, PD McDaniel, AD Rubin NDSS 23, 156, 2003 | 354 | 2003 |
| cleverhans v2. 0.0: an adversarial machine learning library N Papernot, I Goodfellow, R Sheatsley, R Feinman, P McDaniel arXiv preprint arXiv:1610.00768 10, 2016 | 319 | 2016 |
| On cellular botnets: measuring the impact of malicious devices on a cellular network core P Traynor, M Lin, M Ongtang, V Rao, T Jaeger, P McDaniel, T La Porta Proceedings of the 16th ACM conference on Computer and communications …, 2009 | 313 | 2009 |
| Protecting consumer privacy from electric load monitoring S McLaughlin, P McDaniel, W Aiello Proceedings of the 18th ACM conference on Computer and communications …, 2011 | 311 | 2011 |
| Method and system for determining and enforcing security policy in a communication session P McDaniel, A Prakash US Patent App. 10/006,552, 2003 | 310 | 2003 |
| Soteria: Automated {IoT} safety and security analysis ZB Celik, P McDaniel, G Tan 2018 USENIX annual technical conference (USENIX ATC 18), 147-158, 2018 | 302 | 2018 |
| Exploiting open functionality in SMS-capable cellular networks W Enck, P Traynor, P McDaniel, T La Porta Proceedings of the 12th ACM conference on Computer and communications …, 2005 | 299 | 2005 |
| Iotguard: Dynamic enforcement of security and safety policy in commodity IoT. ZB Celik, G Tan, PD McDaniel NDSS, 2019 | 270 | 2019 |
| Sensitive information tracking in commodity {IoT} ZB Celik, L Babun, AK Sikder, H Aksu, G Tan, P McDaniel, AS Uluagac 27th USENIX Security Symposium (USENIX Security 18), 1687-1704, 2018 | 269 | 2018 |
| Reverse firewall with self-provisioning WA Aiello, CR Kalmanek Jr, WJ Leighton III, P McDaniel, S Sen, ... US Patent 8,453,227, 2013 | 265 | 2013 |
| Privacy preserving clustering S Jha, L Kruger, P McDaniel Computer Security–ESORICS 2005: 10th European Symposium on Research in …, 2005 | 265 | 2005 |
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
