Amir Gilad
Amir Gilad
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Type
Conference paper
Journal article
Date
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
Shweta Patwa
,
Danyu Sun
,
Amir Gilad
,
Ashwin Machanavajjhala
,
Sudeepa Roy
(2024).
DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms
. In
PVLDB 17(1)
, 2024.
PDF
Link
Brit Youngmann
,
Michael Cafarella
,
Amir Gilad
,
Sudeepa Roy
(2024).
Summarized Causal Explanations For Aggregate Views
. In
SIGMOD
.
PDF
Link
Yihao Hu
,
Amir Gilad
,
Sudeepa Roy
,
Jun Ynag
(2024).
Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries
. In
SIGMOD
.
PDF
Link
Hanze Meng
,
Zhengjie Miao
,
Amir Gilad
,
Sudeepa Roy
,
Jun Yang
(2023).
Characterizing and Verifying Queries Via CINSGEN
. In
SIGMOD
.
PDF
Link
Amir Gilad
,
Aviram Imber
,
Benny Kimelfeld
(2023).
The Consistency of Probabilistic Databases with Independent Cells
. In
ICDT
, 2023.
PDF
Link
David Pujol
,
Amir Gilad
,
Ashwin Machanavajjhala
(2023).
PreFair: Privately Generating Justifiably Fair Synthetic Data
. In
PVLDB 16(5)
, 2023.
PDF
Link
Yuchao Tao
,
Amir Gilad
,
Ashwin Machanavajjhala
,
Sudeepa Roy
(2023).
DPXPlain: Privately Explaining Aggregate Query Answers
. In
PVLDB 16(1)
, 2023.
PDF
Link
Daniel Deutch
,
Amir Gilad
,
Tova Milo
,
Amit Mualem
,
Amit Somech
(2023).
FEDEX: An Explainability Framework for Data Exploration Steps
. In
PVLDB 15(13)
, 2023.
PDF
Link
Fangzhu Shen
,
Kayvon Heravi
,
Oscar Gomez
,
Sainyam Galhotra
,
Amir Gilad
,
Sudeepa Roy
,
Babak Salimi
(2023).
Causal What-If and How-To Analysis Using HYPER
. In
ICDE
, 2023.
PDF
Link
Amir Gilad
,
Zhengjie Miao
,
Sudeepa Roy
,
Jun Yang
(2022).
Understanding Queries by Conditional Instances
. In
SIGMOD
.
PDF
Link
Sainyam Galhotra
,
Amir Gilad
,
Sudeepa Roy
,
Babak Salimi
(2022).
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach
. In
SIGMOD
.
PDF
Link
Amir Gilad
,
Shweta Patwa
,
Ashwin Machanavajjhala
(2021).
Synthesizing Linked Data Under Cardinality and Integrity Constraints
. In
SIGMOD
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
,
Oren Sheffer
(2021).
Explanations for Data Repair Through Shapley Values
. In
CIKM
.
PDF
Link
Daniel Deutch
,
Ariel Frankenthal
,
Amir Gilad
,
Yuval Moskovitch
(2021).
On Optimizing the Trade-off between Privacy and Utility in Data Provenance
. In
SIGMOD
.
PDF
Link
Daniel Deutch
,
Ariel Frankenthal
,
Amir Gilad
,
Yuval Moskovitch
(2021).
PITA: Privacy Through Provenance Abstraction
. In
ICDE
.
PDF
Link
Amir Gilad
,
Yuval Moskovitch
(2020).
Towards Inferring Queries from Simple and Partial Provenance Examples
. In
CIKM
.
PDF
Link
Amir Gilad
,
Yihao Hu
,
Daniel Deutch
,
Sudeepa Roy
(2020).
MuSe: Multiple Deletion Semantics for Data Repair
. In
PVLDB 13(12)
.
PDF
Link
Daniel Deutch
,
Amir Gilad
,
Tova Milo
,
Amit Somech
(2020).
ExplainED: Explanations for EDA Notebooks
. In
PVLDB 13(12)
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
,
Oren Sheffer
(2020).
T-REx: Table Repair Explanations
. In
SIGMOD
.
PDF
Link
Amir Gilad
,
Daniel Deutch
,
Sudeepa Roy
(2020).
On Multiple Semantics for Declarative Database Repairs
. In
SIGMOD
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
,
Tomer Haimovich
(2020).
Explaining Missing Query Results in Natural Language
. In
EDBT
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
(2020).
Explaining Natural Language Query Results
. In
VLDB J. 29(1)
.
PDF
Link
Daniel Deutch
,
Amir Gilad
(2019).
Reverse-Engineering Conjunctive Queries from Provenance Examples
. In
EDBT
.
PDF
Link
Efrat Abramovitz
,
Daniel Deutch
,
Amir Gilad
(2018).
QuestPro: Queries in SPARQL Through Provenance
. In
PVLDB 11(12)
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
,
Tomer Haimovich
(2018).
NLProveNAns: Natural Language Provenance for Non-Answers
. In
PVLDB 11(12)
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
(2018).
Natural Language Explanations for Query Results
. In
SIGMOD Record 47(1)
,
SIGMOD Research Highlight
.
PDF
Link
Daniel Deutch
,
Amir Gilad
,
Yuval Moskovitch
(2018).
Efficient Provenance Tracking For Datalog Using Top-K Queries
. In
VLDB J. 27(2)
.
PDF
Link
Efrat Abramovitz
,
Daniel Deutch
,
Amir Gilad
(2018).
Interactive Inference of SPARQL Queries Using Provenance
. In
ICDE
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
(2018).
Provenance for Non-Experts
. In
IEEE Data Engineering Bulletin 41(1)
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
(2017).
Provenance for Natural Language Queries
. In
PVLDB 10(5)
,
Best Paper Award
.
PDF
Link
Daniel Deutch
,
Nave Frost
,
Amir Gilad
(2016).
NLProv: Natural Language Provenance
. In
PVLDB 9(13)
.
PDF
Link
Daniel Deutch
,
Amir Gilad
(2016).
QPlain: Query By Explanation
. In
ICDE
.
PDF
Link
Daniel Deutch
,
Amir Gilad
,
Yuval Moskovitch
(2015).
Selective Provenance for Datalog Programs Using Top-K Queries
. In
PVLDB 8(12)
.
PDF
Link
Daniel Deutch
,
Amir Gilad
,
Yuval Moskovitch
(2015).
Towards web-scale how-provenance
. In
DESWeb
.
PDF
Link
Daniel Deutch
,
Amir Gilad
,
Yuval Moskovitch
(2015).
selP: Selective tracking and presentation of data provenance
. In
ICDE
.
PDF
Link
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