S. Jha

Most-cited papers

ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020ECML/PKDD180 citations Open access
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Identifying and Mitigating the Security Risks of Generative AI
Clark W. Barrett, Bradley L Boyd, Elie Bursztein, Nicholas Carlini +19 more
2023Found. Trends Priv. Secur.145 citations
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Semantic Robustness of Models of Source Code
Jordan Henke, Goutham Ramakrishnan, Zi Wang, Aws Albarghouth +2 more
2020IEEE International Conference on Software Analysis, Evolution, and Reengineering138 citations Open access
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EIFFeL: Ensuring Integrity for Federated Learning
Amrita Roy Chowdhury, Chuan Guo, S. Jha, L. van der Maaten
2021Conference on Computer and Communications Security135 citations
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Answering Multi-Dimensional Analytical Queries under Local Differential Privacy
Tian-Hao Wang, Bo-Lin Ding, Jing-Ren Zhou, Cheng Hong +3 more
2019SIGMOD Conference114 citations
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Continuous Release of Data Streams under both Centralized and Local Differential Privacy
Tian-Hao Wang, Joann Qiongna Chen, Zhi-Kun Zhang, D. Su +4 more
2020Conference on Computer and Communications Security101 citations Open access
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Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020101 citations
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Robust Attribution Regularization
Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Ying-Yu Liang +1 more
2019Neural Information Processing Systems98 citations
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Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu +2 more
2021Neural Information Processing Systems81 citations
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Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension
Aiping Xiong, Tian-Hao Wang, Ning-Hui Li, S. Jha
2020IEEE Symposium on Security and Privacy79 citations Open access
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CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
W. Zhang, Thomas Kobber Panum, S. Jha, Prasad Chalasani +1 more
2020International Conference on Machine Learning70 citations
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TRACE: Enterprise-Wide Provenance Tracking for Real-Time APT Detection
Hassaan Irshad, G. Ciocarlie, Ashish Gehani, V. Yegneswaran +6 more
2021IEEE Transactions on Information Forensics and Security69 citations Open access
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CaPC Learning: Confidential and Private Collaborative Learning
Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yun-Xiang Zhang +3 more
2021International Conference on Learning Representations68 citations
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Attribution-Based Confidence Metric For Deep Neural Networks
Susmit Jha, Sunny Raj, S. Fernandes, Sumit Kumar Jha +4 more
2019Neural Information Processing Systems66 citations
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Face-Off: Adversarial Face Obfuscation
Varun Chandrasekaran, Chu-Han Gao, Brian Tang, K. Fawaz +2 more
2020Proceedings on Privacy Enhancing Technologies55 citations Open access
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Is Private Learning Possible with Instance Encoding?
Nicholas Carlini, Samuel Deng, Sanjam Garg, S. Jha +4 more
2021IEEE Symposium on Security and Privacy54 citations
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ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks
Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury +2 more
2020IEEE Symposium on Security and Privacy53 citations Open access
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Federated Boosted Decision Trees with Differential Privacy
Samuel Maddock, Graham Cormode, Tian-Hao Wang, C. Maple +1 more
2022Conference on Computer and Communications Security51 citations Open access
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Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning
Samuel Yeom, Irene Giacomelli, Alan Menaged, Matt Fredrikson +1 more
2019Journal of computing and security49 citations Open access
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An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?
Nicholas Carlini, Samuel Deng, Sanjam Garg, S. Jha +5 more
2020arXiv.org41 citations
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A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Jayaram Raghuram, Varun Chandrasekaran, S. Jha, Suman Banerjee
2020International Conference on Machine Learning40 citations
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The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram +3 more
2023International Conference on Learning Representations30 citations Open access
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Interval universal approximation for neural networks
Zi Wang, Aws Albarghouthi, Gautam Prakriya, S. Jha
2020Proc. ACM Program. Lang.29 citations Open access
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Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms
Saeed Mahloujifar, Alexandre Sablayrolles, Graham Cormode, S. Jha
2022arXiv.org26 citations Open access
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Informative Outlier Matters: Robustifying Out-of-distribution Detection Using Outlier Mining
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
202025 citations
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Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks
Ryan Feng, Ashish Hooda, Neal Mangaokar, K. Fawaz +2 more
2023Conference on Computer and Communications Security24 citations Open access
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Lightweight, Multi-Stage, Compiler-Assisted Application Specialization
Mohannad J. Alhanahnah, Rithik Jain, Vaibhav Rastogi, S. Jha +1 more
2021European Symposium on Security and Privacy23 citations Open access
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Concept-based Explanations for Out-Of-Distribution Detectors
Jih-Ye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen +2 more
2022International Conference on Machine Learning21 citations Open access
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D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Ashish Hooda, Neal Mangaokar, Ryan Feng, K. Fawaz +2 more
2022IEEE Workshop/Winter Conference on Applications of Computer Vision21 citations Open access
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NeuraCrypt is not private
Nicholas Carlini, Sanjam Garg, S. Jha, Saeed Mahloujifar +2 more
2021arXiv.org21 citations
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A Quantitative Geometric Approach to Neural Network Smoothness
Z. Wang, Gautam Prakriya, S. Jha
2022Neural Information Processing Systems20 citations Open access
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Towards Evaluating the Robustness of Neural Networks Learned by Transduction
Jiefeng Chen, Xi Wu, Yang Guo, Ying-Yu Liang +1 more
2021International Conference on Learning Representations20 citations
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Fairness Properties of Face Recognition and Obfuscation Systems
Harrison Rosenberg, Brian Tang, K. Fawaz, S. Jha
2021USENIX Security Symposium19 citations
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Strengthening Order Preserving Encryption with Differential Privacy
Amrita Roy Chowdhury, Bo-Lin Ding, S. Jha, Weiran Liu +1 more
2020Conference on Computer and Communications Security18 citations Open access
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Using Illustrations to Communicate Differential Privacy Trust Models: An Investigation of Users' Comprehension, Perception, and Data Sharing Decision
Aiping Xiong, Chu-Hao Wu, Tian-Hao Wang, R. Proctor +3 more
2022arXiv.org16 citations
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GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes +2 more
2020European Symposium on Security and Privacy16 citations Open access
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On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
Uyeong Jang, Susmit Jha, S. Jha
2019International Conference on Learning Representations16 citations
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ShadowNet: A Secure and Efficient System for On-device Model Inference
Zhichuang Sun, Ruimin Sun, Long Lu, S. Jha
2020arXiv.org14 citations
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Robust Out-of-distribution Detection via Informative Outlier Mining
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020arXiv.org12 citations
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Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury, Theodoros Rekatsinas, S. Jha
2019International Conference on Machine Learning11 citations
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Practical and Robust Privacy Amplification with Multi-Party Differential Privacy
Tian-Hao Wang, Min Xu, Bo-Lin Ding, Jing-Ren Zhou +2 more
2019arXiv.org11 citations
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Generating Semantic Adversarial Examples with Differentiable Rendering
Lakshya Jain, Steven Chen, Wilson Wu, Uyeong Jang +3 more
2019arXiv.org11 citations
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Privacy Implications of Shuffling
Casey Meehan, Amrita Roy Chowdhury, K. Chaudhuri, S. Jha
2022International Conference on Learning Representations10 citations
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Outis: Crypto-Assisted Differential Privacy on Untrusted Servers
Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala +1 more
2019arXiv.org9 citations
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Robust Learning against Relational Adversaries
Yizhen Wang, Mohannad J. Alhanahnah, Xiaozhu Meng, Ke Wang +2 more
2022Neural Information Processing Systems8 citations
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Few-Shot Domain Adaptation For End-to-End Communication
Jayaram Raghuram, Yijing Zeng, Dolores García Martí, R. Ortiz +3 more
2021International Conference on Learning Representations8 citations
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Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers
Jayaram Raghuram, Varun Chandrasekaran, S. Jha, Suman Banerjee
2020arXiv.org8 citations
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Robust Out-of-distribution Detection in Neural Networks
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020arXiv.org8 citations
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Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification
Ryan Feng, Jiefeng Chen, Nelson R. Manohar, Earlence Fernandes +2 more
2020arXiv.org8 citations
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Rearchitecting Classification Frameworks For Increased Robustness
Varun Chandrasekaran, Brian Tang, Nicolas Papernot, K. Fawaz +2 more
20198 citations
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