Xianzhong Long

44 papers A* 3A 2B 2C 1Misc 2Journal 28Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
AAAI
Jian Xiong, Lingxia Jiang, Xianzhong Long, Miaohui Wang, Hao Gao
2025 A conf
CIKM
Ziye Zhu, Liangliang Peng, Yu Wang, Yun Li, Xianzhong Long
2025 J jnl
Pattern Recognit.
Xianzhong Long, Chen Peng, Yun Li
2025 J jnl
Biomed. Signal Process. Control.
Bo Yang, Ruimei Zhang, Hong Peng, Chenggang Guo, Xiaohui Luo, Jun Wang, Xianzhong Long
2024 J jnl
Knowl. Based Syst.
Chen Peng, Xianzhong Long, Yun Li
2024 J jnl
Knowl. Based Syst.
Hengkui Dong, Xianzhong Long, Yun Li
2024 J jnl
Neural Process. Lett.
Hengkui Dong, Xianzhong Long, Yun Li
2024 J jnl
Eng. Appl. Artif. Intell.
Xin Xiong, Min Wu, Juan He, Hong Peng, Jun Wang, Xianzhong Long, Qian Yang
2024 A* conf
ACM Multimedia
Lize Zhou, Xiaoqi Wang, Jian Xiong, Xianzhong Long, Hao Gao
2024 J jnl
Multim. Tools Appl.
Xianzhong Long, Han Du, Yun Li
2023 A* conf
ICCV
Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long
2023 J jnl
CoRR
Xianzhong Long, Chen Peng, Yun Li
2023 J jnl
CoRR
Chen Peng, Xianzhong Long, Yun Li
2023 J jnl
CoRR
Weiquan Li, Xianzhong Long, Yun Li
2023 J jnl
CoRR
Hengkui Dong, Xianzhong Long, Yun Li
2023 J jnl
CoRR
Bo Yang, Hong Peng, Chenggang Guo, Xiaohui Luo, Jun Wang, Xianzhong Long
2023 J jnl
CoRR
Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen
2022 J jnl
Multim. Tools Appl.
Xianzhong Long, Zhiyi Zhang, Yun Li
2022 J jnl
Knowl. Based Syst.
Xianzhong Long, Zhiyi Zhang, Yun Li
2022 conf
PAKDD (2)
Size Ma, Keji Han, Xianzhong Long, Yun Li
2021 J jnl
Multim. Tools Appl.
Xianzhong Long, Jian Xiong, Lei Chen
2021 B conf
IJCNN
Zhiyi Zhang, Xianzhong Long, Yun Li
2020 conf
ICONIP (5)
Xianzhong Long, Jian Xiong, Yun Li
2020 J jnl
Frontiers Comput. Sci.
Lei Chen, Kai Shao, Xianzhong Long, Lingsheng Wang
2019 conf
ICANN (1)
Mian Zhang, Cheng Cheng, Xianzhong Long
2019 J jnl
IEEE Access
Jian Xiong, Xianzhong Long, Ran Shi, Miaohui Wang, Quan Zhou, Guan Gui
2019 J jnl
ACM Trans. Multim. Comput. Commun. Appl.
Qun Li, Fu Xiao, Le An, Xianzhong Long, Xiaochuan Sun
2019 J jnl
Inf. Sci.
Yimeng Zhang, Xiuyi Jia, Zhenmin Tang, Xianzhong Long
2019 Misc conf
ICMLC
Cheng Cheng, Xianzhong Long, Yun Li
2019 J jnl
Pattern Recognit. Lett.
Xiuyi Jia, TingTing Ren, Lei Chen, Jun Wang, Jihua Zhu, Xianzhong Long
2018 conf
ADHIP
Jian Xiong, Xianzhong Long, Ran Shi, Miaohui Wang, Jie Yang, Yunyi Li, Guan Gui
2018 J jnl
IEEE Access
Jian Xiong, Xianzhong Long, Ran Shi, Miaohui Wang, Jie Yang, Guan Gui
2018 B conf
IJCNN
Xianzhong Long, Yun Li
2018 conf
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Xin Li, Xianzhong Long, Guozi Sun, Geng Yang, Huakang Li
2017 J jnl
Algorithms
Jie Yang, Jian Xiong, Guan Gui, Rongfang Song, Wang Luo, Xianzhong Long
2017 Misc conf
ISKE
Xianzhong Long, Lei Chen, Qun Li
2017 conf
ICONIP (6)
Xianzhong Long, Songcan Chen
2016 J jnl
Multim. Tools Appl.
Xianzhong Long, Hongtao Lu, Yong Peng, Xianzhong Wang, Shaokun Feng
2015 J jnl
Neurocomputing
Yong Peng, Suhang Wang, Xianzhong Long, Bao-Liang Lu
2015 J jnl
Neural Process. Lett.
Yong Peng, Xianzhong Long, Bao-Liang Lu
2014 J jnl
Multim. Tools Appl.
Xianzhong Long, Hongtao Lu, Yong Peng, Wenbin Li
2014 J jnl
Multim. Tools Appl.
Xianzhong Long, Hongtao Lu, Wenbin Li
2011 A conf
AISTATS
Hongtao Lu, Xianzhong Long, Jingyuan Lv
2009 C conf
IAS
Changle Zhang, Hong Peng, Xianzhong Long, Zheng Pan, Ying Wu
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