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@ -56,7 +56,7 @@ differential privacy to optimization, machine learning, and mechanism design.
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- **Topics in Security and Privacy Technologies (CS 839)**: [F18](teaching/f18/cs839/)
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- **Topics in Security and Privacy Technologies (CS 839)**: [F18](teaching/f18/cs839/)
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## Service ##
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## Service ##
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- **2022** POPL, PLDI
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- **2022** POPL, PLDI, MFPS (co-chair)
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- **2021** ESOP, PLMW@POPL, CSF, AAAI, COLT, WoLLIC, MFPS
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- **2021** ESOP, PLMW@POPL, CSF, AAAI, COLT, WoLLIC, MFPS
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- **2020** AAAI, CSF, LAFI, WoLLIC, PLMW@POPL, OOPSLA (ERC)
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- **2020** AAAI, CSF, LAFI, WoLLIC, PLMW@POPL, OOPSLA (ERC)
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- **2019** POPL, PLMW@POPL, POST, CSF, DARS (co-chair)
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- **2019** POPL, PLMW@POPL, POST, CSF, DARS (co-chair)
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@ -1,3 +1,5 @@
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+ **02/2022** **P4BID: Information Flow Control in P4** to appear at **PLDI
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2022**.
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+ **01/2022** I will be co-chairing [**MFPS 38**](https://www.cs.cornell.edu/mfps-2022/)
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+ **01/2022** I will be co-chairing [**MFPS 38**](https://www.cs.cornell.edu/mfps-2022/)
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with Christine Tasson, planned to be hybrid with an in-person meeting in
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with Christine Tasson, planned to be hybrid with an in-person meeting in
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**Ithaca, New York**. Submit your best papers!
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**Ithaca, New York**. Submit your best papers!
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@ -24,5 +26,3 @@
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**LICS 2021**.
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**LICS 2021**.
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+ **01/2021** **A Pre-Expectation Calculus for Probabilistic Sensitivity** has
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+ **01/2021** **A Pre-Expectation Calculus for Probabilistic Sensitivity** has
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been selected as a **Distingiushed Paper** at **POPL 2021**!
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been selected as a **Distingiushed Paper** at **POPL 2021**!
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+ **12/2020** **Learning Differentially Private Mechanisms** to appear at **S&P
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2021**.
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