Conference Learning Fair Representations for Kernel Models 2020 • Proceedings of Machine Learning Research • 108:155-166 Tan Z, Yeom S, Fredrikson M, Talwalkar A
Journal Article Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning 2020 • Journal of Computer Security • 28(1):35-70 Yeom S, Giacomelli I, Menaged A, Fredrikson M, Jha S
Conference Reconciling noninterference and gradual typing 2020 • Proceedings - Symposium on Logic in Computer Science • 116-129 de Amorim AA, Fredrikson M, Jia L
Preprint Smoothed Geometry for Robust Attribution 2020 Wang Z, Wang H, Ramkumar S, Fredrikson M, Mardziel P, Datta A
Conference Smoothed Geometry for Robust Attribution 2020 • Advances in Neural Information Processing Systems • 33: Wang Z, Wang H, Ramkumar S, Fredrikson M, Mardziel P, Datta A
Conference Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference 2020 • PROCEEDINGS OF THE 29TH USENIX SECURITY SYMPOSIUM • 1605-1622 Leino K, Fredrikson M
Conference Feature-wise bias amplification 2019 • 7th International Conference on Learning Representations Iclr 2019 Leino K, Fredrikson M, Black E, Sen S, Datta A
Journal Article Feature-wise bias amplification 2019 • 7th International Conference on Learning Representations, ICLR 2019 Leino K, Fredrikson M, Black E, Sen S, Datta A
Preprint Learning Fair Representations for Kernel Models 2019 Tan Z, Yeom S, Fredrikson M, Talwalkar A
Preprint Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference 2019 Leino K, Fredrikson M
Preprint Contextual and Granular Policy Enforcement in Database-backed Applications 2018 Bichhawat A, Fredrikson M, Yang J, Trehan A
Preprint Hunting for Discriminatory Proxies in Linear Regression Models 2018 Yeom S, Datta A, Fredrikson M
Journal Article Hunting for Discriminatory Proxies in Linear Regression Models 2018 • Advances in Neural Information Processing Systems • 31: Yeom S, Datta A, Fredrikson M
Preprint Influence-Directed Explanations for Deep Convolutional Networks 2018 Leino K, Sen S, Datta A, Fredrikson M, Li L
Journal Article Influence-Directed Explanations for Deep Convolutional Networks 2018 • International Test Conference Leino K, Sen S, Datta A, Fredrikson M, Li L
Journal Article Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting 2018 • Proceedings - IEEE Computer Security Foundations Symposium • 268-282 Yeom S, Giacomelli I, Fredrikson M, Jha S
Conference Quantitative underpinnings of secure, graceful degradation 2018 1-1 Wagner R, Garlan D, Fredrikson M
Preprint Verifying and Synthesizing Constant-Resource Implementations with Types 2018 Ngo VC, Dehesa-Azuara M, Fredrikson M, Hoffmann J
Journal Article Why Are They Collecting My Data? 2018 • Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies • 2(4):1-27 Jin H, Liu M, Dodhia K, Li Y, Srivastava G, Fredrikson M, Agarwal Y, Hong JI
Preprint Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting 2017 Yeom S, Giacomelli I, Fredrikson M, Jha S
Journal Article PrivacyProxy: Leveraging Crowdsourcing and In Situ Traffic Analysis to Detect and Mitigate Information Leakage 2017 Srivastava G, Bhuwalka K, Sahoo SK, Chitkara S, Ku K, Fredrikson M, Hong J, Agarwal Y
