Karsten Specht

29 papers B 1Journal 24Unranked 4
YearRankTypeTitle / Venue / Authors
2023 conf
ISBI
Armin Iraji, Katarzyna Kazimierczak, Jiayu Chen, Sara Motlaghian, Karsten Specht, Tülay Adali, Vince D. Calhoun
2022 J jnl
Brain Connect.
Liucija Vaisvilaite, Vetle Hushagen, Janne Grønli, Karsten Specht
2022 J jnl
Brain Connect.
Guro Stensby Sjuls, Karsten Specht
2021 conf
VCBM
Vetle Hushagen, Gustav C. Tresselt, Noeska N. Smit, Karsten Specht
2018 J jnl
NeuroImage
Helene Hjelmervik, Markus Hausmann, Alexander R. Craven, Marco Hirnstein, Kenneth Hugdahl, Karsten Specht
2017 J jnl
NeuroImage
Frøydis Morken, Turid Helland, Kenneth Hugdahl, Karsten Specht
2015 J jnl
NeuroImage
Helene Hjelmervik, René Westerhausen, Marco Hirnstein, Karsten Specht, Markus Hausmann
2014 J jnl
NeuroImage
Olga Therese Ousdal, Karsten Specht, Andres Server, Ole A. Andreassen, Raymond J. Dolan, Jimmy Jensen
2011 J jnl
NeuroImage
René Westerhausen, Kristiina Kompus, Margaretha Dramsdahl, Liv E. Falkenberg, Renate Grüner, Helene Hjelmervik, Karsten Specht, Kerstin J. Plessen, Kenneth Hugdahl
2011 J jnl
NeuroImage
Berge Osnes, Kenneth Hugdahl, Karsten Specht
2009 J jnl
NeuroImage
Hubertus Hautzel, Felix M. Mottaghy, Karsten Specht, Hans-Wilhelm Müller, Bernd J. Krause
2009 J jnl
NeuroImage
Karsten Specht, Roland Zahn, Klaus Willmes, Susanne Weis, Christiane Holtel, Bernd J. Krause, Hans Herzog, Walter Huber
2009 J jnl
NeuroImage
Matthias Moosmann, Vinzenz H. Schönfelder, Karsten Specht, René Scheeringa, Helge Nordby, Kenneth Hugdahl
2008 J jnl
NeuroImage
Maurits van den Noort, Karsten Specht, Lars M. Rimol, Lars Ersland, Kenneth Hugdahl
2008 J jnl
Comput. Medical Imaging Graph.
Anca-Larisa Sandu, Inge-Andre Rasmussen Jr., Arvid Lundervold, Frank Kreuder, Gesche Neckelmann, Kenneth Hugdahl, Karsten Specht
2008 J jnl
NeuroImage
Hilde Gundersen, Karsten Specht, Renate Grüner, Lars Ersland, Kenneth Hugdahl
2007 J jnl
NeuroImage
Martina Minnerop, Karsten Specht, J. Ruhlmann, N. Schimke, M. Abele, A. Weyer, U. Wüllner, Thomas Klockgether
2006 J jnl
NeuroImage
Lars M. Rimol, Karsten Specht, Kenneth Hugdahl
2006 J jnl
NeuroImage
Chuh-Hyoun Lie, Karsten Specht, John C. Marshall, Gereon R. Fink
2005 J jnl
NeuroImage
Kerstin Konrad, Susanne Neufang, Christiane M. Thiel, Karsten Specht, Charlotte Hanisch, Jin Fan, Beate Herpertz-Dahlmann, Gereon R. Fink
2005 J jnl
NeuroImage
Tormod Thomsen, Karsten Specht, Lars Morten Rimol, Åsa Hammar, Jarle Nyttingnes, Lars Ersland, Kenneth Hugdahl
2005 J jnl
NeuroImage
Afra M. Wohlschläger, Karsten Specht, C. Lie, Hartmut Mohlberg, Andreas Wohlschläger, Kay A. Bente, Uwe Pietrzyk, Tony Stöcker, Karl Zilles, Katrin Amunts, Gereon R. Fink
2005 J jnl
NeuroImage
Lars M. Rimol, Karsten Specht, Susanne Weis, Robert Savoy, Kenneth Hugdahl
2005 J jnl
NeuroImage
Karsten Specht, Martina Minnerop, Jonas Müller-Hübenthal, Thomas Klockgether
2004 conf
ICA
Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet
2004 B conf
IJCNN
Ingo R. Keck, Fabian J. Theis, Peter Gruber, Elmar Wolfgang Lang, Karsten Specht, Carlos García Puntonet
2004 J jnl
NeuroImage
Tormod Thomsen, Karsten Specht, Åsa Hammar, Jarle Nyttingnes, Lars Ersland, Kenneth Hugdahl
2003 J jnl
NeuroImage
Karsten Specht, Jürgen Reul
1996 conf
Bildverarbeitung für die Medizin
Karsten Specht, Hans-Michael Bunse, Axel Klusmann, Anna De Simone, Walter Sturm, Walter Huber, Klaus Willmes
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