def test_xor_implementation(workers): alice, bob, james = workers["alice"], workers["bob"], workers["james"] r = decompose(torch.LongTensor([3]), 2 ** 64).send(alice, bob).child x_bit_sh = ( decompose(torch.LongTensor([23]), 2 ** 64) .share(alice, bob, crypto_provider=james, dtype="long") .child ) j0 = torch.zeros(x_bit_sh.shape).long().send(bob) j1 = torch.ones(x_bit_sh.shape).long().send(alice) j = MultiPointerTensor(children=[j0.child, j1.child]) w = (j * r) + x_bit_sh - (2 * x_bit_sh * r) r_real = r.virtual_get()[0] x_real = x_bit_sh.virtual_get() w_real = r_real + x_real - 2 * r_real * x_real assert (w.virtual_get() == w_real).all() # For dtype int r = decompose(torch.IntTensor([3]), 2 ** 32).send(alice, bob).child x_bit_sh = ( decompose(torch.IntTensor([23]), 2 ** 32) .share(alice, bob, crypto_provider=james, dtype="int") .child ) assert x_bit_sh.field == 2 ** 32 and x_bit_sh.dtype == "int" j0 = torch.zeros(x_bit_sh.shape).type(torch.int32).send(bob) j1 = torch.ones(x_bit_sh.shape).type(torch.int32).send(alice) j = MultiPointerTensor(children=[j0.child, j1.child]) w = (j * r) + x_bit_sh - (2 * x_bit_sh * r) r_real = r.virtual_get()[0] x_real = x_bit_sh.virtual_get() w_real = r_real + x_real - 2 * r_real * x_real assert (w.virtual_get() == w_real).all()
def test_private_compare(workers): """ Test private compare which returns: β′ = β ⊕ (x > r). """ alice, bob, james = workers["alice"], workers["bob"], workers["james"] x_bit_sh = decompose(torch.LongTensor([13])).share( alice, bob, crypto_provider=james).child r = torch.LongTensor([12]).send(alice, bob).child beta = torch.LongTensor([1]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert not beta_p beta = torch.LongTensor([0]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert beta_p # Big values x_bit_sh = decompose(torch.LongTensor([2**60])).share( alice, bob, crypto_provider=james).child r = torch.LongTensor([2**61]).send(alice, bob).child beta = torch.LongTensor([1]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert beta_p beta = torch.LongTensor([0]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert not beta_p # Multidimensional tensors x_bit_sh = (decompose(torch.LongTensor([[13, 44], [1, 28]])).share( alice, bob, crypto_provider=james).child) r = torch.LongTensor([[12, 44], [12, 33]]).send(alice, bob).child beta = torch.LongTensor([1]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert (beta_p == torch.tensor([[0, 1], [1, 1]])).all() beta = torch.LongTensor([0]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert (beta_p == torch.tensor([[1, 0], [0, 0]])).all() # Negative values x_val = -105 % 2**62 r_val = -52 % 2**62 # The protocol works only for values in Zq x_bit_sh = decompose(torch.LongTensor([x_val])).share( alice, bob, crypto_provider=james).child r = torch.LongTensor([r_val]).send(alice, bob).child beta = torch.LongTensor([1]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert beta_p beta = torch.LongTensor([0]).send(alice, bob).child beta_p = private_compare(x_bit_sh, r, beta) assert not beta_p
def test_xor_implementation(workers): alice, bob, james = workers["alice"], workers["bob"], workers["james"] r = decompose(th.tensor([3])).send(alice, bob).child x_bit_sh = decompose(th.tensor([23])).share(alice, bob, crypto_provider=james).child j0 = torch.zeros(x_bit_sh.shape).long().send(bob) j1 = torch.ones(x_bit_sh.shape).long().send(alice) j = MultiPointerTensor(children=[j0.child, j1.child]) w = (j * r) + x_bit_sh - (2 * x_bit_sh * r) r_real = r.virtual_get()[0] x_real = x_bit_sh.virtual_get() w_real = r_real + x_real - 2 * r_real * x_real assert (w.virtual_get() == w_real).all()
def test_private_compare(workers): alice, bob, james = ( workers["alice"], workers["bob"], workers["james"], ) x_bits = (securenn.decompose(torch.tensor([3, 3]), 2**64).share(alice, bob, dtype="custom", field=67, crypto_provider=james).child) r = torch.tensor([1, 5]).send(alice, bob).child b = torch.tensor([0]).send(alice, bob).child compare = securenn.private_compare(x_bits, r, b, 2**64) assert (compare == torch.tensor([1, 0])).all()