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

CCS 2017 Paper Experiments

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

pip install PyMonad pandas numpy scipy matplotlib

See Makefile targets and the paper.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
annots		annots
data		data
Makefile		Makefile
README.md		README.md
bench_detect.py		bench_detect.py
bench_detect2.py		bench_detect2.py
conversion.py		conversion.py
detect.py		detect.py
exp_repair_random.py		exp_repair_random.py
gen_interp.py		gen_interp.py
gen_repair_and_interp.py		gen_repair_and_interp.py
lang.py		lang.py
ml_util.py		ml_util.py
plot_bench_detect.py		plot_bench_detect.py
plot_bench_detect2.py		plot_bench_detect2.py
plot_interp.py		plot_interp.py
plot_interp.py.back		plot_interp.py.back
plot_repair_random.py		plot_repair_random.py
plot_util.py		plot_util.py
probmonad.py		probmonad.py
repair.py		repair.py
subexp_stats.py		subexp_stats.py
util.py		util.py