Publications (44)
Towards Practical Differential Privacy for SQL Queries
Noah Johnson, Joseph P. Near, Dawn Song
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao, Bo Li, Jun-Yan Zhu +3
Curriculum Adversarial Training
Qi-Zhi Cai, Min Du, Chang Liu +1
PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices
Neil Zhenqiang Gong, Altay Ozen, Yu Wu +5
How Open Should Open Source Be?
Adam Barth, Saung Li, Benjamin I. P. Rubinstein +1
Adversarial examples for generative models
Jernej Kos, Ian Fischer, Dawn Song
Subliminal Probing for Private Information via EEG-Based BCI Devices
Mario Frank, Tiffany Hwu, Sakshi Jain +5
Jointly Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN)
Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey +6
A Learning-Based Approach to Reactive Security
Adam Barth, Benjamin I. P. Rubinstein, Mukund Sundararajan +3
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu, Xinyun Chen, Chang Liu +1
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He, James Wei, Xinyun Chen +2
Towards Synthesizing Complex Programs from Input-Output Examples
Xinyun Chen, Chang Liu, Dawn Song
Making Neural Programming Architectures Generalize via Recursion
Jonathon Cai, Richard Shin, Dawn Song
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
Xiaojun Xu, Chang Liu, Dawn Song
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen, Chang Liu, Dawn Song
Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+
Neil Zhenqiang Gong, Wenchang Xu, Ling Huang +4
Physical Adversarial Examples for Object Detectors
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
Exploring the Space of Black-box Attacks on Deep Neural Networks
Arjun Nitin Bhagoji, Warren He, Bo Li +1
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp, Dawn Song, Jaime G. Carbonell
Delving into adversarial attacks on deep policies
Jernej Kos, Dawn Song
Note on Attacking Object Detectors with Adversarial Stickers
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun, Jian Tang, Huichen Li +4
Preserving Link Privacy in Social Network Based Systems
Prateek Mittal, Charalampos Papamanthou, Dawn Song
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning
Xinlei Pan, Weiyao Wang, Xiaoshuai Zhang +3
Efficient Deep Learning on Multi-Source Private Data
Nick Hynes, Raymond Cheng, Dawn Song
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, Yisen Wang +6
Characterizing Audio Adversarial Examples Using Temporal Dependency
Zhuolin Yang, Bo Li, Pin-Yu Chen +1
Sanctorum: A lightweight security monitor for secure enclaves
Ilia Lebedev, Kyle Hogan, Jules Drean +5
Spatially Transformed Adversarial Examples
Chaowei Xiao, Jun-Yan Zhu, Bo Li +3
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen, Chang Liu, Bo Li +2
Latent Attention For If-Then Program Synthesis
Xinyun Chen, Chang Liu, Richard Shin +2
Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication
Mario Frank, Ralf Biedert, Eugene Ma +2
GamePad: A Learning Environment for Theorem Proving
Daniel Huang, Prafulla Dhariwal, Dawn Song +1
Fooling Vision and Language Models Despite Localization and Attention Mechanism
Xiaojun Xu, Xinyun Chen, Chang Liu +3
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection
Xiaojun Xu, Chang Liu, Qian Feng +3
Towards Practical Oblivious RAM
Emil Stefanov, Elaine Shi, Dawn Song
Mining Permission Request Patterns from Android and Facebook Applications (extended author version)
Mario Frank, Ben Dong, Adrienne Porter Felt +1
A Berkeley View of Systems Challenges for AI
Ion Stoica, Dawn Song, Raluca Ada Popa +11
Adversarial Texts with Gradient Methods
Zhitao Gong, Wenlu Wang, Bo Li +2
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao, Ruizhi Deng, Bo Li +3
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt, Ivan Evtimov, Earlence Fernandes +6
Assessing Generalization in Deep Reinforcement Learning
Charles Packer, Katelyn Gao, Jernej Kos +3
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks
Huichen Li, Xiaojun Xu, Chang Liu +6
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini, Chang Liu, Ãlfar Erlingsson +2