Publications (27)
Feasibility of Direct Disposal of Salt Waste from Electochemical Processing of Spent Nuclear Fuel
Rob P Rechard, Teklu Hadgu, Yifeng Wang +6
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot, Patrick McDaniel, Xi Wu +2
Towards Least Privilege Containers with Cimplifier
Vaibhav Rastogi, Drew Davidson, Lorenzo De Carli +2
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan +2
IoTSan: Fortifying the Safety of IoT Systems
Dang Tu Nguyen, Chengyu Song, Zhiyun Qian +3
On the Effectiveness of Defensive Distillation
Nicolas Papernot, Patrick McDaniel
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow +3
Curie: Policy-based Secure Data Exchange
Z. Berkay Celik, Hidayet Aksu, Abbas Acar +3
Crafting Adversarial Input Sequences for Recurrent Neural Networks
Nicolas Papernot, Patrick McDaniel, Ananthram Swami +1
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot +2
Detection under Privileged Information
Z. Berkay Celik, Patrick McDaniel, Rauf Izmailov +4
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha +3
Regulating Access to System Sensors in Cooperating Programs
Giuseppe Petracca, Jens Grossklags, Patrick McDaniel +1
Sensitive Information Tracking in Commodity IoT
Z. Berkay Celik, Leonardo Babun, Amit K. Sikder +4
The Space of Transferable Adversarial Examples
Florian Tramèr, Nicolas Papernot, Ian Goodfellow +2
Extending Defensive Distillation
Nicolas Papernot, Patrick McDaniel
Attacking Strategies and Temporal Analysis Involving Facebook Discussion Groups
Chun-Ming Lai, Xiaoyun Wang, Yunfeng Hong +4
I know what leaked in your pocket: uncovering privacy leaks on Android Apps with Static Taint Analysis
Li Li, Alexandre Bartel, Jacques Klein +6
Patient-Driven Privacy Control through Generalized Distillation
Z. Berkay Celik, David Lopez-Paz, Patrick McDaniel
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Nicolas Papernot, Patrick McDaniel
Achieving Secure and Differentially Private Computations in Multiparty Settings
Abbas Acar, Z. Berkay Celik, Hidayet Aksu +2
Six Potential Game-Changers in Cyber Security: Towards Priorities in Cyber Science and Engineering
Alexander Kott, Ananthram Swami, Patrick McDaniel
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot, Fartash Faghri, Nicholas Carlini +23
Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha +1
Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities
Z. Berkay Celik, Earlence Fernandes, Eric Pauley +2
More or Less? Predict the Social Influence of Malicious URLs on Social Media
Chun-Ming Lai, Xiaoyun Wang, Jon W. Chapman +5