Makoto Fujiwara

27 papers B 1C 5Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Arch. Math. Log.
Makoto Fujiwara
2025 J jnl
Comput.
Makoto Fujiwara, Takako Nemoto
2025 J jnl
CoRR
Seiji Hattori, Takuya Matsuzaki, Makoto Fujiwara
2024 J jnl
Arch. Math. Log.
Makoto Fujiwara, Taishi Kurahashi
2023 J jnl
J. Symb. Log.
Makoto Fujiwara, Taishi Kurahashi
2023 J jnl
Bull. Symb. Log.
Makoto Fujiwara, Hajime Ishihara, Takako Nemoto, Nobu-Yuki Suzuki, Keita Yokoyama
2023 conf
VLSI Technology and Circuits
Noritaka Ishihara, Yusuke Shimada, Takamitsu Ochi, Satoshi Seto, Haruki Matsuo, Hiroki Yamashita, Sho Morita, Masafumi Ukishima, K. Uejima, Yusuke Arayashiki, Suzuka Kajiwara, Akiyuki Murayama, Katsuya Nishiyama, Kikuko Sugimae, Shinji Mori, Yuta Saito, Takeshi Shundo, Aki Maeda, Hiroyuki Kamiya, Yasuhiro Uchiyama, Makoto Fujiwara, Fumiki Aiso, Katsuyuki Sekine, Norio Ohtani
2022 C conf
CiE
Makoto Fujiwara
2022 J jnl
Math. Log. Q.
Makoto Fujiwara, Taishi Kurahashi
2022 J jnl
Arch. Math. Log.
Makoto Fujiwara
2021 J jnl
Arch. Math. Log.
Makoto Fujiwara, Tatsuji Kawai
2021 J jnl
Math. Log. Q.
Makoto Fujiwara, Tatsuji Kawai
2021 J jnl
Math. Log. Q.
Makoto Fujiwara
2021 J jnl
J. Symb. Log.
Makoto Fujiwara, Taishi Kurahashi
2021 J jnl
Comput.
Makoto Fujiwara
2020 C conf
CiE
Makoto Fujiwara
2019 C conf
WoLLIC
Makoto Fujiwara
2019 J jnl
Ann. Pure Appl. Log.
Makoto Fujiwara, Tatsuji Kawai
2018 J jnl
J. Symb. Log.
Makoto Fujiwara, Ulrich Kohlenbach
2016 conf
COMPSAC Workshops
Toshifusa Sekizawa, Makoto Fujiwara, Koichiro Watanabe
2015 J jnl
Math. Log. Q.
Makoto Fujiwara, Ulrich Kohlenbach
2015 C conf
CiE
Makoto Fujiwara
2015 J jnl
Arch. Math. Log.
Makoto Fujiwara, Hajime Ishihara, Takako Nemoto
2014 J jnl
Math. Log. Q.
Makoto Fujiwara, Kojiro Higuchi, Takayuki Kihara
2013 C conf
CiE
Makoto Fujiwara, Keita Yokoyama
2007 B conf
SMC
Tomoyuki Araki, Makoto Fujiwara, Yuichi Kohira
1985 J jnl
Pattern Recognit.
Shinichi Tamura, Shigenori Nakano, Masayuki Matsumoto, Takashi Shimazu, Makoto Fujiwara, Taizo Matsuyama, Peter Hanrath
tests/unit/test_decompile_scores.py
← Index tests/unit/test_decompile_scores.py python
"""Unit tests for bninja/analysis/scores.py — ObfuscationScores."""
import sys
import pytest
from unittest.mock import MagicMock

# Install binaryninja stubs before importing
from tests.unit.conftest_binja_stubs import (
    install_binja_stubs,
    HighLevelILOperation,
)
bn_mock = install_binja_stubs()

from redb.extractors.decompiler.bninja.analysis.scores import (
    ObfuscationScores,
    get_dominated_by,
    uses_mba,
)
import binaryninja.highlevelil as hlil_mod


# ============================================================================
# Helper: Mock HLIL instruction
# ============================================================================

class MockHLILInstruction(hlil_mod.HighLevelILInstruction):
    """Mock HLIL instruction with operation and operands."""
    def __init__(self, operation, operands=None):
        self.operation = operation
        self.operands = operands or []


class MockHLILBasicBlock:
    """Mock HLIL basic block for flattened score testing."""
    def __init__(self, incoming_edges=None, dominator_tree_children=None):
        self.incoming_edges = incoming_edges or []
        self.dominator_tree_children = dominator_tree_children or []


# ============================================================================
# 5a. ObfuscationScores
# ============================================================================


class TestFlattenedScore:
    def test_flattened_score_no_back_edges(self):
        """Linear CFG with no back edges -> score 0.0."""
        block = MockHLILBasicBlock(incoming_edges=[], dominator_tree_children=[])
        func = MagicMock()
        func.basic_blocks = [block]
        scores = ObfuscationScores(func)
        assert scores.flattened_score() == 0.0

    def test_flattened_score_with_loop(self):
        """CFG with a back edge -> score > 0.0."""
        block = MockHLILBasicBlock(dominator_tree_children=[])
        # Create a back edge: an incoming edge whose source is in the dominated set
        edge = MagicMock()
        edge.source = block  # source IS the dominator -> back edge
        block.incoming_edges = [edge]
        func = MagicMock()
        func.basic_blocks = [block]
        scores = ObfuscationScores(func)
        assert scores.flattened_score() > 0.0

    def test_flattened_score_fully_flat(self):
        """Flattened CFG: one block dominates all -> ratio close to 1.0."""
        children = [MockHLILBasicBlock() for _ in range(4)]
        root = MockHLILBasicBlock(dominator_tree_children=children)
        # Back edge from root incoming
        edge = MagicMock()
        edge.source = root
        root.incoming_edges = [edge]
        all_blocks = [root] + children
        func = MagicMock()
        func.basic_blocks = all_blocks
        scores = ObfuscationScores(func)
        assert scores.flattened_score() == pytest.approx(1.0)


class TestMBAScore:
    def test_mba_score_no_mixed_ops(self):
        """Instructions with only arithmetic -> score 0.0."""
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[])
        func = MagicMock()
        func.instructions = [instr]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() == 0.0

    def test_mba_score_mixed_ops(self):
        """Instructions with arithmetic + logic -> score > 0.0."""
        inner_logic = MockHLILInstruction(HighLevelILOperation.HLIL_XOR, operands=[])
        outer_arith = MockHLILInstruction(
            HighLevelILOperation.HLIL_ADD, operands=[inner_logic]
        )
        func = MagicMock()
        func.instructions = [outer_arith]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() > 0.0

    def test_mba_score_all_mixed(self):
        """Every instruction has both -> score 1.0."""
        inner_logic = MockHLILInstruction(HighLevelILOperation.HLIL_NOT, operands=[])
        outer_arith = MockHLILInstruction(
            HighLevelILOperation.HLIL_SUB, operands=[inner_logic]
        )
        func = MagicMock()
        func.instructions = [outer_arith]
        scores = ObfuscationScores(func)
        assert scores.MBA_score() == 1.0


class TestGetDominatedBy:
    def test_get_dominated_by(self):
        child1 = MockHLILBasicBlock(dominator_tree_children=[])
        child2 = MockHLILBasicBlock(dominator_tree_children=[])
        root = MockHLILBasicBlock(dominator_tree_children=[child1, child2])
        result = get_dominated_by(root)
        assert root in result
        assert child1 in result
        assert child2 in result
        assert len(result) == 3


class TestUsesMBA:
    def test_uses_mba_arithmetic_only(self):
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[])
        assert uses_mba(instr) is False

    def test_uses_mba_logic_only(self):
        instr = MockHLILInstruction(HighLevelILOperation.HLIL_XOR, operands=[])
        assert uses_mba(instr) is False

    def test_uses_mba_mixed(self):
        inner = MockHLILInstruction(HighLevelILOperation.HLIL_AND, operands=[])
        outer = MockHLILInstruction(HighLevelILOperation.HLIL_ADD, operands=[inner])
        assert uses_mba(outer) is True