Justin Hsu
4 papers · 2014–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (3) π Academic Marathon (9) π Cross-Pollinator (3) π Interdisciplinary Bridge
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Conferences
IJCAI (2)
AISTATS (1)
ICML (1)
Top co-authors
Research topics
Keywords
differential privacy
(3)
adversarial learning
(1)
data poisoning
(1)
renyi divergence
(1)
statistical hypothesis testing
(1)
machine learning
(1)
probabilistic programming
(1)
exponential mechanism
(1)
adversarial attack
(1)
invariant learning
(1)
objective perturbation
(1)
probabilistic program
(1)
weakest pre-expectation
(1)
loop invariant
(1)
invariant synthesis
(1)
piecewise continuous function
(1)
high dimensional datum
(1)
query release
(1)
statistical learning
(1)
private data analysis
(1)
Papers
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract)
IJCAI 2023
Hypothesis Testing Interpretations and Renyi Differential Privacy
AISTATS 2020
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
IJCAI 2019
Dual Query: Practical Private Query Release for High Dimensional Data
ICML 2014