def obfuscate(self,
circuit,
secparam,
directory,
obliviate=False,
nslots=None,
kappa=None):
start = time.time()
self._remove_old(directory)
if nslots is None:
nslots = secparam
# create a dummy branching program to determine parameters
bp = SZBranchingProgram(circuit,
verbose=self._verbose,
obliviate=obliviate)
if not kappa:
kappa = len(bp)
nzs = bp.set_straddling_sets()
primes = self._gen_mlm_params(secparam, kappa, 0, nzs, directory)
bps = self._construct_bps(SZBranchingProgram, nslots, circuit, primes,
obliviate)
self._randomize(secparam, bps, primes)
self._obfuscate(bps, len(primes))
end = time.time()
self.logger('Obfuscation took: %f' % (end - start))
if self._verbose:
_obf.max_mem_usage()
def obfuscate(self, fname, secparam, directory, obliviate=False,
nslots=None, kappa=None, formula=True):
start = time.time()
self._remove_old(directory)
if nslots is None:
nslots = secparam
# create a dummy branching program to determine parameters
bp = SZBranchingProgram(fname, verbose=self._verbose,
obliviate=obliviate, formula=formula)
nzs = bp.set_straddling_sets()
if not kappa:
kappa = nzs
primes = self._gen_mlm_params(secparam, kappa, 0, nzs, directory)
bps = self._construct_bps(SZBranchingProgram, nslots, fname, primes,
obliviate, formula=formula)
self._randomize(secparam, bps, primes)
self._obfuscate(bps, len(primes))
_obf.wait(self._state)
if self._verbose:
_obf.max_mem_usage()
end = time.time()
self.logger('Obfuscation took: %f' % (end - start))
def obfuscate(self, circuit, secparam, directory, obliviate=False,
nslots=None, kappa=None):
start = time.time()
self._remove_old(directory)
if nslots is None:
nslots = secparam
# create a dummy branching program to determine parameters
bp = AGISBranchingProgram(circuit, verbose=self._verbose,
obliviate=obliviate)
# add two to kappa due to the bookend vectors
if not kappa:
kappa = len(bp) + 2
# construct straddling sets, and add two to the number of Zs to take
# bookend vectors into account
nzs = bp.set_straddling_sets() + 2
# width is the column/row-length of the matrices
width = bp.size
primes = self._gen_mlm_params(secparam, kappa, width, nzs, directory)
bps = self._construct_bps(AGISBranchingProgram, nslots, circuit,
primes, obliviate)
self._randomize(secparam, bps, primes)
self._construct_bookend_vectors(bps, primes, nzs)
self._obfuscate(bps, len(primes))
end = time.time()
self.logger('Obfuscation took: %f' % (end - start))
if self._verbose:
_obf.max_mem_usage()
def obfuscate(self,
circuit,
secparam,
directory,
obliviate=False,
nslots=None,
kappa=None):
start = time.time()
self._remove_old(directory)
if nslots is None:
nslots = secparam
# create a dummy branching program to determine parameters
bp = AGISBranchingProgram(circuit,
verbose=self._verbose,
obliviate=obliviate)
# add two to kappa due to the bookend vectors
if not kappa:
kappa = len(bp) + 2
# construct straddling sets, and add two to the number of Zs to take
# bookend vectors into account
nzs = bp.set_straddling_sets() + 2
# width is the column/row-length of the matrices
width = bp.size
primes = self._gen_mlm_params(secparam, kappa, width, nzs, directory)
bps = self._construct_bps(AGISBranchingProgram, nslots, circuit,
primes, obliviate)
self._randomize(secparam, bps, primes)
self._construct_bookend_vectors(bps, primes, nzs)
self._obfuscate(bps, len(primes))
end = time.time()
self.logger('Obfuscation took: %f' % (end - start))
if self._verbose:
_obf.max_mem_usage()
