Snapshot of the proxy-use-related implementations and experiments/results presented in the CCS 2017 paper.
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annots
data
Makefile
README.md
bench_detect.py
bench_detect2.py
conversion.py
detect.py
exp_repair_random.py
gen_interp.py
gen_repair_and_interp.py
lang.py
ml_util.py
plot_bench_detect.py
plot_bench_detect2.py
plot_interp.py
plot_interp.py.back
plot_repair_random.py
plot_util.py
probmonad.py
repair.py
subexp_stats.py
util.py

README.md

Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs

CCS 2017 Paper Experiments

Installing

First install python and pip in your favorite system-specific manner. Then install the required pip packages:

pip install PyMonad pandas numpy scipy matplotlib

Running

See Makefile targets and the paper.