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Philip Sosnin
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- 2026
[c3]Philip Sosnin, Jodie Knapp, Fraser Kennedy, Josh Collyer, Calvin Tsay
:
Exact Certification of Data-Poisoning Attacks Using Mixed-Integer Programming. CPAIOR 2026: 538-556
[i5]Philip Sosnin, Jodie Knapp, Fraser Kennedy, Josh Collyer, Calvin Tsay:
Exact Certification of Data-Poisoning Attacks Using Mixed-Integer Programming. CoRR abs/2602.16944 (2026)- 2025
[j1]Philip Sosnin, Mark Niklas Müller, Maximilian Baader, Calvin Tsay, Matthew Wicker:
Certified Robustness to Data Poisoning in Gradient-Based Training. Trans. Mach. Learn. Res. 2025 (2025)
[c2]Matthew Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Müller, Yves-Alexandre de Montjoye, Adrian Weller, Calvin Tsay:
Certification for Differentially Private Prediction in Gradient-Based Training. ICML 2025
[i4]Philip Sosnin, Matthew Wicker, Josh Collyer, Calvin Tsay:
Abstract Gradient Training: A Unified Certification Framework for Data Poisoning, Unlearning, and Differential Privacy. CoRR abs/2511.09400 (2025)
[i3]Leo Elmecker-Plakolm, Pierre Fasterling, Philip Sosnin, Calvin Tsay, Matthew Wicker:
Provably Safe Model Updates. CoRR abs/2512.01899 (2025)- 2024
[c1]Philip Sosnin
, Calvin Tsay:
Scaling Mixed-Integer Programming for Certification of Neural Network Controllers Using Bounds Tightening. CDC 2024: 1645-1650
[i2]Philip Sosnin, Mark Niklas Müller, Maximilian Baader, Calvin Tsay, Matthew Wicker:
Certified Robustness to Data Poisoning in Gradient-Based Training. CoRR abs/2406.05670 (2024)
[i1]Matthew Wicker, Philip Sosnin, Adrianna Janik, Mark Niklas Müller, Adrian Weller, Calvin Tsay:
Certificates of Differential Privacy and Unlearning for Gradient-Based Training. CoRR abs/2406.13433 (2024)
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