Carmen Sanchez-Avila

21 papers Journal 6Unranked 15
YearRankTypeTitle / Venue / Authors
2017 conf
ICCST
Belén Ríos-Sánchez, Miguel Viana-Matesanz, Carmen Sanchez-Avila
2017 conf
ICCST
Alicia Aglio-Caballero, Belén Ríos-Sánchez, Carmen Sanchez-Avila, Maria Jose Melcon De Giles
2017 conf
ICCST
Belén Ríos-Sánchez, Miguel Viana-Matesanz, Carmen Sanchez-Avila
2017 conf
ICCST
David Querencias-Uceta, Belén Ríos-Sánchez, Carmen Sanchez-Avila
2016 conf
SRDS Workshop
Belén Ríos-Sánchez, Miguel Viana-Matesanz, Carmen Sanchez-Avila, Maria Jose Melcon De Giles
2016 conf
SRDS Workshop
Javier Guerra Casanova, Belén Ríos-Sánchez, Miguel Viana-Matesanz, Gonzalo Bailador, Carmen Sanchez-Avila, Maria Jose Melcon De Giles
2014 conf
ICCST
Miguel F. Arriaga-Gómez, Ignacio de Mendizábal-Vázquez, Rodrigo Ros-Gomez, Carmen Sanchez-Avila
2014 conf
ICCST
Daniel de Santos-Sierra, Miguel F. Arriaga-Gómez, Gonzalo Bailador, Carmen Sanchez-Avila
2014 conf
ICCST
Ignacio de Mendizábal-Vázquez, Daniel de Santos-Sierra, Javier Guerra Casanova, Carmen Sanchez-Avila
2013 J jnl
Int. J. Pattern Recognit. Artif. Intell.
Javier Guerra Casanova, Carmen Sanchez-Avila, Gonzalo Bailador del Pozo, Alberto de Santos Sierra
2013 J jnl
Knowl. Based Syst.
Irene Rodríguez-Luján, Gonzalo Bailador, Carmen Sanchez-Avila, Ana Herrero, Guillermo Vidal-de-Miguel
2011 conf
NaBIC
Javier Guerra Casanova, Carmen Sanchez-Avila, Alberto de Santos Sierra, Gonzalo Bailador
2011 J jnl
Pattern Recognit.
Gonzalo Bailador, Carmen Sanchez-Avila, Javier Guerra Casanova, Alberto de Santos Sierra
2010 conf
Security and Management
Victor Gayoso Martínez, Luis Hernández Encinas, Carmen Sanchez-Avila
2009 conf
Security and Management
Fernando Hernández Álvarez, Luis Hernández Encinas, Carmen Sanchez-Avila
2005 J jnl
Pattern Recognit.
Carmen Sanchez-Avila, Raul Sánchez-Reillo
2001 conf
AVBPA
Raul Sánchez-Reillo, Carmen Sanchez-Avila
2001 conf
AVBPA
Raul Sánchez-Reillo, Carmen Sanchez-Avila
2000 J jnl
IEEE Trans. Pattern Anal. Mach. Intell.
Raul Sánchez-Reillo, Carmen Sanchez-Avila, Ana González-Marcos
1999 conf
CQRE
Raul Sánchez-Reillo, Carmen Sanchez-Avila, Ana González-Marcos
1994 J jnl
IEEE Trans. Signal Process.
Carmen Sanchez-Avila
redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py
← Index redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py python
from binaryninja import (
    MediumLevelILInstruction,
    Variable, SSAVariable,
    ILIntrinsic,
)


class MediumLevelNormalization:
    def __init__(self):
        return

    def _collect_ops(self, il, ops):
        if il is None:
            return
        ops.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect_ops(op, ops)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect_ops(sub, ops)

    def normalize_instruction_all_levels(self, instr_il):
        ops = []
        self._collect_ops(instr_il, ops)
        return ops

    def _leaf_type(self, val):
        if isinstance(val, SSAVariable):
            return "SSA_VAR"
        if isinstance(val, Variable):
            return "VAR"
        if isinstance(val, ILIntrinsic):
            return "INTRINSIC"
        if isinstance(val, bool):
            return "BOOL"
        if isinstance(val, float):
            return "FLOAT_CONST"
        if isinstance(val, int):
            return "CONST"
        if isinstance(val, str):
            return "STR"
        return type(val).__name__.upper()

    def _collect(self, il, out_op):
        if il is None:
            return
        out_op.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect(op, out_op)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect(sub, out_op)
                    else:
                        out_op.append(self._leaf_type(sub))
            else:
                out_op.append(self._leaf_type(op))

    def normalize_instr_with_operands(self, instr_il):
        ops = []
        self._collect(instr_il, ops)
        return ops