Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPatrick D. McDaniel
Patrick Drew McDaniel
Person information
- affiliation: Pennsylvania State University, School of Electrical Engineering and Computer Science
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j54]Tian Xie
, Sanchal Thakkar, Ting He, Patrick D. McDaniel, Quinn Burke:
Joint Caching and Routing in Cache Networks With Arbitrary Topology. IEEE Trans. Parallel Distributed Syst. 34(8): 2237-2250 (2023)- [j53]Ya Xiao, Wenjia Song, Jingyuan Qi, Bimal Viswanath, Patrick D. McDaniel, Danfeng Yao:
Specializing Neural Networks for Cryptographic Code Completion Applications. IEEE Trans. Software Eng. 49(6): 3524-3535 (2023) - [c156]Eric Pauley, Paul Barford, Patrick D. McDaniel:
DScope: A Cloud-Native Internet Telescope. USENIX Security Symposium 2023 - [c155]Ryan Sheatsley, Blaine Hoak, Eric Pauley, Patrick D. McDaniel:
The Space of Adversarial Strategies. USENIX Security Symposium 2023 - [i49]Quinn Burke, Yohan Beugin, Blaine Hoak, Rachel King, Eric Pauley, Ryan Sheatsley, Mingli Yu, Ting He, Thomas La Porta, Patrick D. McDaniel:
Securing Cloud File Systems using Shielded Execution. CoRR abs/2305.18639 (2023) - [i48]Yohan Beugin, Patrick D. McDaniel:
Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving). CoRR abs/2306.03825 (2023) - [i47]Syed Rafiul Hussain, Patrick D. McDaniel, Anshul Gandhi, Kanad Ghose, Kartik Gopalan, Dongyoon Lee, Yu David Liu, Zhenhua Liu, Shuai Mu, Erez Zadok:
Verifiable Sustainability in Data Centers. CoRR abs/2307.11993 (2023) - [i46]Alban Héon, Ryan Sheatsley, Quinn Burke, Blaine Hoak, Eric Pauley, Yohan Beugin, Patrick D. McDaniel:
Systematic Evaluation of Geolocation Privacy Mechanisms. CoRR abs/2309.06263 (2023) - 2022
- [j52]Ryan Sheatsley, Nicolas Papernot, Michael J. Weisman, Gunjan Verma, Patrick D. McDaniel:
Adversarial examples for network intrusion detection systems. J. Comput. Secur. 30(5): 727-752 (2022) - [j51]Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel:
Building a Privacy-Preserving Smart Camera System. Proc. Priv. Enhancing Technol. 2022(2): 25-46 (2022) - [j50]Michael Norris, Z. Berkay Celik, Prasanna Venkatesh Rengasamy, Shulin Zhao, Patrick Drew McDaniel, Anand Sivasubramaniam, Gang Tan:
IoTRepair: Flexible Fault Handling in Diverse IoT Deployments. ACM Trans. Internet Things 3(3): 22:1-22:33 (2022) - [j49]Amit Kumar Sikder, Leonardo Babun, Z. Berkay Celik, Hidayet Aksu, Patrick D. McDaniel, Engin Kirda, A. Selcuk Uluagac:
Who's Controlling My Device? Multi-User Multi-Device-Aware Access Control System for Shared Smart Home Environment. ACM Trans. Internet Things 3(4): 27:1-27:39 (2022) - [j48]Quinn Burke, Fidan Mehmeti, Rahul George, Kyle Ostrowski, Trent Jaeger, Thomas F. La Porta, Patrick D. McDaniel:
Enforcing Multilevel Security Policies in Unstable Networks. IEEE Trans. Netw. Serv. Manag. 19(3): 2349-2365 (2022) - [j47]Tian Xie, Namitha Nambiar, Ting He, Patrick D. McDaniel:
Attack Resilience of Cache Replacement Policies: A Study Based on TTL Approximation. IEEE/ACM Trans. Netw. 30(6): 2433-2447 (2022) - [c154]Patrick Drew McDaniel:
Sustainability is a Security Problem. CCS 2022: 9-10 - [c153]Eric Pauley, Gang Tan, Danfeng Zhang, Patrick D. McDaniel:
Performant Binary Fuzzing without Source Code using Static Instrumentation. CNS 2022: 226-235 - [c152]Tian Xie, Sanchal Thakkar, Ting He, Patrick D. McDaniel, Quinn Burke:
Joint Caching and Routing in Cache Networks with Arbitrary Topology. ICDCS 2022: 56-66 - [c151]Eric Pauley, Ryan Sheatsley, Blaine Hoak, Quinn Burke, Yohan Beugin, Patrick D. McDaniel:
Measuring and Mitigating the Risk of IP Reuse on Public Clouds. SP 2022: 558-575 - [i45]Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel:
Building a Privacy-Preserving Smart Camera System. CoRR abs/2201.09338 (2022) - [i44]Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler J. Shipp, Patrick D. McDaniel:
HoneyModels: Machine Learning Honeypots. CoRR abs/2202.10309 (2022) - [i43]Ryan Sheatsley, Matthew Durbin, Azaree Lintereur, Patrick D. McDaniel:
Improving Radioactive Material Localization by Leveraging Cyber-Security Model Optimizations. CoRR abs/2202.10387 (2022) - [i42]Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick D. McDaniel, Michael J. Weisman, Sencun Zhu, Shitong Zhu, Srikanth V. Krishnamurthy:
Generating Practical Adversarial Network Traffic Flows Using NIDSGAN. CoRR abs/2203.06694 (2022) - [i41]Eric Pauley, Ryan Sheatsley, Blaine Hoak, Quinn Burke, Yohan Beugin, Patrick D. McDaniel:
Measuring and Mitigating the Risk of IP Reuse on Public Clouds. CoRR abs/2204.05122 (2022) - [i40]Kyle Domico, Ryan Sheatsley, Yohan Beugin, Quinn Burke, Patrick D. McDaniel:
A Machine Learning and Computer Vision Approach to Geomagnetic Storm Forecasting. CoRR abs/2204.05780 (2022) - [i39]Valentin Vie, Ryan Sheatsley, Sophia Beyda, Sushrut Shringarputale, Kevin S. Chan, Trent Jaeger, Patrick D. McDaniel:
Adversarial Plannning. CoRR abs/2205.00566 (2022) - [i38]Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel:
Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices. CoRR abs/2208.09776 (2022) - [i37]Ryan Sheatsley, Blaine Hoak, Eric Pauley, Patrick D. McDaniel:
The Space of Adversarial Strategies. CoRR abs/2209.04521 (2022) - [i36]Eric Pauley, Kyle Domico, Blaine Hoak, Ryan Sheatsley, Quinn Burke, Yohan Beugin, Patrick D. McDaniel:
EIPSIM: Modeling Secure IP Address Allocation at Cloud Scale. CoRR abs/2210.14999 (2022) - 2021
- [j46]Leonardo Babun, Kyle Denney, Z. Berkay Celik, Patrick D. McDaniel, A. Selcuk Uluagac:
A survey on IoT platforms: Communication, security, and privacy perspectives. Comput. Networks 192: 108040 (2021) - [j45]Leonardo Babun, Z. Berkay Celik, Patrick D. McDaniel, A. Selcuk Uluagac:
Real-time Analysis of Privacy-(un)aware IoT Applications. Proc. Priv. Enhancing Technol. 2021(1): 145-166 (2021) - [j44]Stefan Achleitner, Quinn Burke, Patrick D. McDaniel, Trent Jaeger, Thomas La Porta, Srikanth V. Krishnamurthy:
MLSNet: A Policy Complying Multilevel Security Framework for Software Defined Networking. IEEE Trans. Netw. Serv. Manag. 18(1): 729-744 (2021) - [j43]Mingli Yu, Tian Xie, Ting He, Patrick D. McDaniel, Quinn K. Burke:
Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks. IEEE/ACM Trans. Netw. 29(6): 2793-2806 (2021) - [c150]Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick D. McDaniel:
On the Robustness of Domain Constraints. CCS 2021: 495-515 - [c149]Tian Xie, Ting He, Patrick D. McDaniel, Namitha Nambiar:
Attack Resilience of Cache Replacement Policies. INFOCOM 2021: 1-10 - [c148]Adrien Cosson, Amit Kumar Sikder, Leonardo Babun, Z. Berkay Celik, Patrick D. McDaniel, A. Selcuk Uluagac:
Sentinel: A Robust Intrusion Detection System for IoT Networks Using Kernel-Level System Information. IoTDI 2021: 53-66 - [c147]Ahmed Abdou, Ryan Sheatsley, Yohan Beugin, Tyler J. Shipp, Patrick D. McDaniel:
HoneyModels: Machine Learning Honeypots. MILCOM 2021: 886-891 - [i35]Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick D. McDaniel:
On the Robustness of Domain Constraints. CoRR abs/2105.08619 (2021) - 2020
- [c146]Sushrut Shringarputale, Patrick D. McDaniel, Kevin R. B. Butler, Thomas La Porta:
Co-residency Attacks on Containers are Real. CCSW@CCS 2020: 53-66 - [c145]Mingli Yu, Ting He, Patrick Drew McDaniel, Quinn K. Burke:
Flow Table Security in SDN: Adversarial Reconnaissance and Intelligent Attacks. INFOCOM 2020: 1519-1528 - [c144]Michael Norris, Z. Berkay Celik, Prasanna Venkatesh Rengasamy, Shulin Zhao, Patrick D. McDaniel, Anand Sivasubramaniam, Gang Tan:
IoTRepair: Systematically Addressing Device Faults in Commodity IoT. IoTDI 2020: 142-148 - [c143]Quinn Burke, Patrick D. McDaniel, Thomas F. La Porta, Mingli Yu, Ting He:
Misreporting Attacks in Software-Defined Networking. SecureComm (1) 2020: 276-296 - [c142]Sayed M. Saghaian N. E., Tom La Porta, Simone Silvestri, Patrick D. McDaniel:
Improving Robustness of a Popular Probabilistic Clustering Algorithm Against Insider Attacks. SecureComm (1) 2020: 381-401 - [c141]Amit Kumar Sikder, Leonardo Babun, Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Patrick D. McDaniel, Engin Kirda, A. Selcuk Uluagac:
Kratos: multi-user multi-device-aware access control system for the smart home. WISEC 2020: 1-12 - [i34]Michael Norris, Z. Berkay Celik, Patrick D. McDaniel, Gang Tan, Prasanna Venkatesh Rengasamy, Shulin Zhao, Anand Sivasubramaniam:
IoTRepair: Systematically Addressing Device Faults in Commodity IoT (Extended Paper). CoRR abs/2002.07641 (2020) - [i33]Stefan Achleitner, Quinn Burke, Patrick D. McDaniel, Trent Jaeger, Thomas La Porta, Srikanth V. Krishnamurthy:
MLSNet: A Policy Complying Multilevel Security Framework for Software Defined Networking. CoRR abs/2009.10021 (2020) - [i32]Ryan Sheatsley, Nicolas Papernot, Michael J. Weisman, Gunjan Verma, Patrick D. McDaniel:
Adversarial Examples in Constrained Domains. CoRR abs/2011.01183 (2020)
2010 – 2019
- 2019
- [j42]Z. Berkay Celik, Earlence Fernandes, Eric Pauley, Gang Tan, Patrick D. McDaniel:
Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities. ACM Comput. Surv. 52(4): 74:1-74:30 (2019) - [j41]Z. Berkay Celik, Patrick D. McDaniel, Gang Tan, Leonardo Babun, A. Selcuk Uluagac:
Verifying Internet of Things Safety and Security in Physical Spaces. IEEE Secur. Priv. 17(5): 30-37 (2019) - [j40]Dan Boneh, Andrew J. Grotto, Patrick D. McDaniel, Nicolas Papernot:
How Relevant Is the Turing Test in the Age of Sophisbots? IEEE Secur. Priv. 17(6): 64-71 (2019) - [j39]Ahmed Osama Fathy Atya, Zhiyun Qian, Srikanth V. Krishnamurthy, Thomas La Porta, Patrick D. McDaniel, Lisa M. Marvel:
Catch Me if You Can: A Closer Look at Malicious Co-Residency on the Cloud. IEEE/ACM Trans. Netw. 27(2): 560-576 (2019) - [c140]Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Ryan Sheatsley, Patrick D. McDaniel, A. Selcuk Uluagac:
Curie: Policy-based Secure Data Exchange. CODASPY 2019: 121-132 - [c139]Z. Berkay Celik, Gang Tan, Patrick D. McDaniel:
IoTGuard: Dynamic Enforcement of Security and Safety Policy in Commodity IoT. NDSS 2019 - [c138]Raquel Alvarez, Jake Levenson, Ryan Sheatsley, Patrick D. McDaniel:
Application Transiency: Towards a Fair Trade of Personal Information for Application Services. SecureComm (2) 2019: 47-66 - [c137]Giuseppe Petracca, Yuqiong Sun, Ahmad Atamli-Reineh, Patrick D. McDaniel, Jens Grossklags, Trent Jaeger:
EnTrust: Regulating Sensor Access by Cooperating Programs via Delegation Graphs. USENIX Security Symposium 2019: 567-584 - [i31]Dan Boneh, Andrew J. Grotto, Patrick D. McDaniel, Nicolas Papernot:
How Relevant is the Turing Test in the Age of Sophisbots? CoRR abs/1909.00056 (2019) - [i30]Amit Kumar Sikder, Leonardo Babun, Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Patrick D. McDaniel, Engin Kirda, A. Selcuk Uluagac:
Multi-User Multi-Device-Aware Access Control System for Smart Home. CoRR abs/1911.10186 (2019) - [i29]Leonardo Babun, Z. Berkay Celik, Patrick D. McDaniel, A. Selcuk Uluagac:
Real-time Analysis of Privacy-(un)aware IoT Applications. CoRR abs/1911.10461 (2019) - 2018
- [j38]Ian J. Goodfellow, Patrick D. McDaniel, Nicolas Papernot:
Making machine learning robust against adversarial inputs. Commun. ACM 61(7): 56-66 (2018) - [c136]Z. Berkay Celik, Patrick D. McDaniel, Rauf Izmailov, Nicolas Papernot, Ryan Sheatsley, Raquel Alvarez, Ananthram Swami:
Detection under Privileged Information. AsiaCCS 2018: 199-206 - [c135]Dang Tu Nguyen, Chengyu Song, Zhiyun Qian, Srikanth V. Krishnamurthy, Edward J. M. Colbert, Patrick D. McDaniel:
IotSan: fortifying the safety of IoT systems. CoNEXT 2018: 191-203 - [c134]Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman:
SoK: Security and Privacy in Machine Learning. EuroS&P 2018: 399-414 - [c133]Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian J. Goodfellow, Dan Boneh, Patrick D. McDaniel:
Ensemble Adversarial Training: Attacks and Defenses. ICLR (Poster) 2018 - [c132]Rauf Izmailov, Shridatt Sugrim, Ritu Chadha, Patrick D. McDaniel, Ananthram Swami:
Enablers of Adversarial Attacks in Machine Learning. MILCOM 2018: 425-430 - [c131]Sayed M. Saghaian N. E., Tom La Porta, Trent Jaeger, Z. Berkay Celik, Patrick D. McDaniel:
Mission-Oriented Security Model, Incorporating Security Risk, Cost and Payout. SecureComm (2) 2018: 192-212 - [c130]Z. Berkay Celik, Patrick D. McDaniel:
Extending Detection with Privileged Information via Generalized Distillation. IEEE Symposium on Security and Privacy Workshops 2018: 83-88 - [c129]Z. Berkay Celik, Patrick D. McDaniel, Gang Tan:
Soteria: Automated IoT Safety and Security Analysis. USENIX Annual Technical Conference 2018: 147-158 - [c128]Z. Berkay Celik, Leonardo Babun, Amit Kumar Sikder, Hidayet Aksu, Gang Tan, Patrick D. McDaniel, A. Selcuk Uluagac:
Sensitive Information Tracking in Commodity IoT. USENIX Security Symposium 2018: 1687-1704 - [i28]Chun-Ming Lai, Xiaoyun Wang, Yunfeng Hong, Yu-Cheng Lin, Shyhtsun Felix Wu, Patrick D. McDaniel, Hasan Cam:
Attacking Strategies and Temporal Analysis Involving Facebook Discussion Groups. CoRR abs/1802.04500 (2018) - [i27]Z. Berkay Celik, Leonardo Babun, Amit Kumar Sikder, Hidayet Aksu, Gang Tan, Patrick D. McDaniel, A. Selcuk Uluagac:
Sensitive Information Tracking in Commodity IoT. CoRR abs/1802.08307 (2018) - [i26]Nicolas Papernot, Patrick D. McDaniel:
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning. CoRR abs/1803.04765 (2018) - [i25]Z. Berkay Celik, Patrick D. McDaniel, Gang Tan:
Soteria: Automated IoT Safety and Security Analysis. CoRR abs/1805.08876 (2018) - [i24]Giuseppe Petracca, Jens Grossklags, Patrick D. McDaniel, Trent Jaeger:
Regulating Access to System Sensors in Cooperating Programs. CoRR abs/1808.05579 (2018) - [i23]Z. Berkay Celik, Earlence Fernandes, Eric Pauley, Gang Tan, Patrick D. McDaniel:
Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities. CoRR abs/1809.06962 (2018) - [i22]Dang Tu Nguyen, Chengyu Song, Zhiyun Qian, Srikanth V. Krishnamurthy, Edward J. M. Colbert, Patrick D. McDaniel:
IoTSan: Fortifying the Safety of IoT Systems. CoRR abs/1810.09551 (2018) - [i21]Chun-Ming Lai, Xiaoyun Wang, Jon William Chapman, Yu-Cheng Lin, Yu-Chang Ho, Shyhtsun Felix Wu, Patrick D. McDaniel, Hasan Cam:
More or Less? Predict the Social Influence of Malicious URLs on Social Media. CoRR abs/1812.02978 (2018) - 2017
- [j37]Chaz Lever, Robert J. Walls, Yacin Nadji, David Dagon, Patrick D. McDaniel, Manos Antonakakis:
Dawn of the Dead Domain: Measuring the Exploitation of Residual Trust in Domains. IEEE Secur. Priv. 15(2): 70-77 (2017) - [j36]Jing (Dave) Tian, Kevin R. B. Butler, Joseph I. Choi, Patrick D. McDaniel, Padma Krishnaswamy:
Securing ARP/NDP From the Ground Up. IEEE Trans. Inf. Forensics Secur. 12(9): 2131-2143 (2017) - [j35]Stefan Achleitner, Thomas F. La Porta, Patrick D. McDaniel, Shridatt Sugrim, Srikanth V. Krishnamurthy, Ritu Chadha:
Deceiving Network Reconnaissance Using SDN-Based Virtual Topologies. IEEE Trans. Netw. Serv. Manag. 14(4): 1098-1112 (2017) - [c127]Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami:
Practical Black-Box Attacks against Machine Learning. AsiaCCS 2017: 506-519 - [c126]Chun-Ming Lai, Xiaoyun Wang, Yunfeng Hong, Yu-Cheng Lin, Shyhtsun Felix Wu, Patrick D. McDaniel, Hasan Cam:
Attacking strategies and temporal analysis involving Facebook discussion groups. CNSM 2017: 1-9 - [c125]Patrick D. McDaniel:
Tracing the Arc of Smartphone Application Security. ABAC@CODASPY 2017: 41-42 - [c124]Z. Berkay Celik, Patrick D. McDaniel, Rauf Izmailov:
Feature Cultivation in Privileged Information-augmented Detection. IWSPA@CODASPY 2017: 73-80 - [c123]Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick D. McDaniel:
Adversarial Examples for Malware Detection. ESORICS (2) 2017: 62-79 - [c122]Stefan Achleitner, Thomas La Porta, Patrick D. McDaniel, Srikanth V. Krishnamurthy, Alexander Poylisher, Constantin Serban:
Stealth migration: Hiding virtual machines on the network. INFOCOM 2017: 1-9 - [c121]Ahmed Osama Fathy Atya, Zhiyun Qian, Srikanth V. Krishnamurthy, Thomas La Porta, Patrick D. McDaniel, Lisa M. Marvel:
Malicious co-residency on the cloud: Attacks and defense. INFOCOM 2017: 1-9 - [c120]Z. Berkay Celik, David Lopez-Paz, Patrick D. McDaniel:
Patient-Driven Privacy Control through Generalized Distillation. PAC 2017: 1-12 - [c119]Abbas Acar, Z. Berkay Celik, Hidayet Aksu, A. Selcuk Uluagac, Patrick D. McDaniel:
Achieving Secure and Differentially Private Computations in Multiparty Settings. PAC 2017: 49-59 - [c118]Yunfeng Hong, Yongjian Hu, Chun-Ming Lai, Shyhtsun Felix Wu, Iulian Neamtiu, Patrick D. McDaniel, Paul L. Yu, Hasan Cam, Gail-Joon Ahn:
Defining and Detecting Environment Discrimination in Android Apps. SecureComm 2017: 510-529 - [c117]Vaibhav Rastogi, Drew Davidson, Lorenzo De Carli, Somesh Jha, Patrick D. McDaniel:
Cimplifier: automatically debloating containers. ESEC/SIGSOFT FSE 2017: 476-486 - [c116]Stefan Achleitner, Thomas La Porta, Trent Jaeger, Patrick D. McDaniel:
Adversarial Network Forensics in Software Defined Networking. SOSR 2017: 8-20 - [c115]Stefan Achleitner, Thomas La Porta, Trent Jaeger, Patrick D. McDaniel:
Adversarial Network Forensics in Software Defined Networking: Demo. SOSR 2017: 177-178 - [i20]Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, Michael Backes, Patrick D. McDaniel:
On the (Statistical) Detection of Adversarial Examples. CoRR abs/1702.06280 (2017) - [i19]Z. Berkay Celik, Hidayet Aksu, Abbas Acar, Ryan Sheatsley, A. Selcuk Uluagac, Patrick D. McDaniel:
Curie: Policy-based Secure Data Exchange. CoRR abs/1702.08342 (2017) - [i18]Florian Tramèr, Nicolas Papernot, Ian J. Goodfellow, Dan Boneh, Patrick D. McDaniel:
The Space of Transferable Adversarial Examples. CoRR abs/1704.03453 (2017) - [i17]Nicolas Papernot, Patrick D. McDaniel:
Extending Defensive Distillation. CoRR abs/1705.05264 (2017) - [i16]Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Dan Boneh, Patrick D. McDaniel:
Ensemble Adversarial Training: Attacks and Defenses. CoRR abs/1705.07204 (2017) - [i15]Abbas Acar, Z. Berkay Celik, Hidayet Aksu, A. Selcuk Uluagac, Patrick D. McDaniel:
Achieving Secure and Differentially Private Computations in Multiparty Settings. CoRR abs/1707.01871 (2017) - 2016
- [j34]Patrick D. McDaniel, Nicolas Papernot, Z. Berkay Celik:
Machine Learning in Adversarial Settings. IEEE Secur. Priv. 14(3): 68-72 (2016) - [j33]Damien Octeau, Daniel Luchaup, Somesh Jha, Patrick D. McDaniel:
Composite Constant Propagation and its Application to Android Program Analysis. IEEE Trans. Software Eng. 42(11): 999-1014 (2016) - [c114]Stefan Achleitner, Thomas La Porta, Patrick D. McDaniel, Shridatt Sugrim, Srikanth V. Krishnamurthy, Ritu Chadha:
Cyber Deception: Virtual Networks to Defend Insider Reconnaissance. MIST@CCS 2016: 57-68 - [c113]Charles Huber, Patrick D. McDaniel, Scott E. Brown, Lisa M. Marvel:
Cyber Fighter Associate: A Decision Support System for cyber agility. CISS 2016: 198-203 - [c112]Devin J. Pohly, Patrick D. McDaniel:
Modeling Privacy and Tradeoffs in Multichannel Secret Sharing Protocols. DSN 2016: 371-382 - [c111]Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami:
The Limitations of Deep Learning in Adversarial Settings. EuroS&P 2016: 372-387 - [c110]Z. Berkay Celik, Nan Hu, Yun Li, Nicolas Papernot, Patrick D. McDaniel, Robert J. Walls, Jeff Rowe, Karl N. Levitt, Novella Bartolini, Thomas F. La Porta, Ritu Chadha:
Mapping sample scenarios to operational models. MILCOM 2016: 7-12 - [c109]Nicolas Papernot, Patrick D. McDaniel, Ananthram Swami, Richard E. Harang:
Crafting adversarial input sequences for recurrent neural networks. MILCOM 2016: 49-54 - [c108]Damien Octeau, Somesh Jha, Matthew L. Dering, Patrick D. McDaniel, Alexandre Bartel, Li Li, Jacques Klein, Yves Le Traon:
Combining static analysis with probabilistic models to enable market-scale Android inter-component analysis. POPL 2016: 469-484 - [c107]Nathaniel Lageman, Eric D. Kilmer, Robert J. Walls, Patrick D. McDaniel:
BinDNN: Resilient Function Matching Using Deep Learning. SecureComm 2016: 517-537 - [c106]Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick D. McDaniel, Matthew Smith:
SoK: Lessons Learned from Android Security Research for Appified Software Platforms. IEEE Symposium on Security and Privacy 2016: 433-451 - [c105]Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami:
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks. IEEE Symposium on Security and Privacy 2016: 582-597 - [c104]Chaz Lever, Robert J. Walls, Yacin Nadji, David Dagon, Patrick D. McDaniel, Manos Antonakakis:
Domain-Z: 28 Registrations Later Measuring the Exploitation of Residual Trust in Domains. IEEE Symposium on Security and Privacy 2016: 691-706 - [c103]Michael Backes, Sven Bugiel, Erik Derr, Patrick D. McDaniel, Damien Octeau, Sebastian Weisgerber:
On Demystifying the Android Application Framework: Re-Visiting Android Permission Specification Analysis. USENIX Security Symposium 2016: 1101-1118 - [i14]Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami:
Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples. CoRR abs/1602.02697 (2016) - [i13]Vaibhav Rastogi, Drew Davidson, Lorenzo De Carli, Somesh Jha, Patrick D. McDaniel:
Towards Least Privilege Containers with Cimplifier. CoRR abs/1602.08410 (2016) - [i12]Z. Berkay Celik, Patrick D. McDaniel, Rauf Izmailov, Nicolas Papernot, Ananthram Swami:
Building Better Detection with Privileged Information. CoRR abs/1603.09638 (2016) - [i11]Nicolas Papernot, Patrick D. McDaniel, Ananthram Swami, Richard E. Harang:
Crafting Adversarial Input Sequences for Recurrent Neural Networks. CoRR abs/1604.08275 (2016) - [i10]Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow:
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples. CoRR abs/1605.07277 (2016) - [i9]Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick D. McDaniel:
Adversarial Perturbations Against Deep Neural Networks for Malware Classification. CoRR abs/1606.04435 (2016) - [i8]Nicolas Papernot, Patrick D. McDaniel:
On the Effectiveness of Defensive Distillation. CoRR abs/1607.05113 (2016) - [i7]Ian J. Goodfellow, Nicolas Papernot, Patrick D. McDaniel:
cleverhans v0.1: an adversarial machine learning library. CoRR abs/1610.00768 (2016) - [i6]Nicolas Papernot, Patrick D. McDaniel,