def kv_en_privkv(kv, epsilon1, epsilon2, set_value=None):
k, v = int(kv[0]), kv[1]
if k == 1:
k = ldplib.perturbation(value=k,
perturbed_value=1 - k,
epsilon=epsilon1)
if k == 1:
discretize_v = ldplib.discretization(v, -1, 1)
p_k, p_v = 1, ldplib.perturbation(value=discretize_v,
perturbed_value=-discretize_v,
epsilon=epsilon2)
else:
p_k, p_v = 0, 0
else:
k = ldplib.perturbation(value=k,
perturbed_value=1 - k,
epsilon=epsilon1)
if k == 1:
v = np.random.uniform(low=-1,
high=1) if set_value is None else set_value
discretize_v = ldplib.discretization(v, -1, 1)
p_k, p_v = 1, ldplib.perturbation(value=discretize_v,
perturbed_value=-discretize_v,
epsilon=epsilon2)
else:
p_k, p_v = 0, 0
return [p_k, p_v]
def encode_duchi(value, epsilon):
value = dp.discretization(value=value, lower=-1, upper=1)
value = dp.perturbation(value=value,
perturbed_value=-value,
epsilon=epsilon)
value = (np.e**epsilon + 1) / (np.e**epsilon - 1) * value
return value
def encode(self, v):
if not -1 <= v <= 1:
raise Exception(
"Error, The input domain is [-1, 1], while the input is ", v)
value = ldplib.discretization(value=v, lower=-1, upper=1)
value = ldplib.perturbation(value=value,
perturbed_value=-value,
epsilon=self.epsilon)
return self.C * value