Patrick McDaniel
Patrick McDaniel
William L. Weiss Professor, Computer Science and Engineering, Penn State Unviersity
Bestätigte E-Mail-Adresse bei cse.psu.edu
Titel
Zitiert von
Zitiert von
Jahr
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
39252014
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
19062016
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
16552014
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
15152017
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
15092016
Security and privacy challenges in the smart grid
P McDaniel, S McLaughlin
IEEE Security & Privacy 7 (3), 75-77, 2009
12452009
On lightweight mobile phone application certification
W Enck, M Ongtang, P McDaniel
Proceedings of the 16th ACM conference on Computer and communications …, 2009
12322009
A study of android application security.
W Enck, D Octeau, PD McDaniel, S Chaudhuri
USENIX security symposium 2, 2, 2011
11932011
Ensemble adversarial training: Attacks and defenses
F Tramèr, A Kurakin, N Papernot, I Goodfellow, D Boneh, P McDaniel
arXiv preprint arXiv:1705.07204, 2017
10642017
Understanding android security
W Enck, M Ongtang, P McDaniel
IEEE security & privacy 7 (1), 50-57, 2009
8472009
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
7962016
Semantically rich application‐centric security in Android
M Ongtang, S McLaughlin, W Enck, P McDaniel
Security and Communication Networks 5 (6), 658-673, 2012
7112012
Secure attribute-based systems
M Pirretti, P Traynor, P McDaniel, B Waters
Journal of Computer Security 18 (5), 799-837, 2010
6862010
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
5002015
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
4562013
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
4092009
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
3402016
On the (statistical) detection of adversarial examples
K Grosse, P Manoharan, N Papernot, M Backes, P McDaniel
arXiv preprint arXiv:1702.06280, 2017
3352017
An analysis of anonymity in bitcoin using p2p network traffic
P Koshy, D Koshy, P McDaniel
International Conference on Financial Cryptography and Data Security, 469-485, 2014
3282014
Energy theft in the advanced metering infrastructure
S McLaughlin, D Podkuiko, P McDaniel
International Workshop on Critical Information Infrastructures Security, 176-187, 2009
3212009
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20