Oriane M. Neto

15 papers B 8C 2Journal 5
YearRankTypeTitle / Venue / Authors
2014 J jnl
Appl. Soft Comput.
Ricardo S. Prado, Rodrigo César Pedrosa Silva, Oriane M. Neto, Frederico G. Guimarães, Danilo Sipoli Sanches, João Bosco A. London Jr., Alexandre C. B. Delbem
2013 J jnl
Appl. Soft Comput.
Renata E. Onety, Roberto Tadei, Oriane M. Neto, Ricardo H. C. Takahashi
2012 B conf
IEEE Congress on Evolutionary Computation
Cristiane G. Taroco, Eduardo G. Carrano, Ricardo H. C. Takahashi, Oriane M. Neto
2011 C conf
EMO
Renata E. Onety, Gladston J. P. Moreira, Oriane M. Neto, Ricardo H. C. Takahashi
2010 B conf
IEEE Congress on Evolutionary Computation
Luis A. Scola, Oriane M. Neto, Ricardo H. C. Takahashi, Sergio A. A. G. Cerqueira
2010 J jnl
IEEE Trans. Evol. Comput.
Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto
2010 J jnl
Int. J. Nat. Comput. Res.
Cristiane G. Taroco, Eduardo G. Carrano, Oriane M. Neto
2010 B conf
SMC
Ricardo S. Prado, Rodrigo C. P. Silva, Frederico G. Guimarães, Oriane M. Neto
2009 B conf
IEEE Congress on Evolutionary Computation
Tiago L. Pereira, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elizabeth F. Wanner, Oriane M. Neto
2009 B conf
IEEE Congress on Evolutionary Computation
Jésus J. Souza Santos, Diogo B. Oliveira, Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elson J. Silva, Oriane M. Neto
2008 B conf
IEEE Congress on Evolutionary Computation
Eduardo G. Carrano, Ricardo H. C. Takahashi, Walmir M. Caminhas, Oriane M. Neto
2008 B conf
IEEE Congress on Evolutionary Computation
Eduardo G. Carrano, Bruno B. Souza, Oriane M. Neto, Ricardo H. C. Takahashi
2007 B conf
SMC
Eduardo G. Carrano, Carlos M. Fonseca, Ricardo H. C. Takahashi, Luciano C. A. Pimenta, Oriane M. Neto
2007 C conf
EMO
Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto
2004 J jnl
Int. J. Syst. Sci.
Erivelton G. Nepomuceno, Ricardo H. C. Takahashi, Luis Antonio Aguirre, Oriane M. Neto, Eduardo M. A. M. Mendes
redb/extractors/decompiler/bninja/analysis/low_level_normalization.py
← Index redb/extractors/decompiler/bninja/analysis/low_level_normalization.py python
from binaryninja import (
    ILRegister, ILRegisterStack, ILFlag,
    ILIntrinsic, ILSemanticFlagGroup,
)

class LowLevelNormalization:
    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 hasattr(op, "operation"):
                self._collect_ops(op, ops)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if hasattr(sub, "operation"):
                        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, ILRegister):
            return "REG"
        if isinstance(val, ILRegisterStack):
            return "REG_STACK"
        if isinstance(val, ILFlag):
            return "FLAG"
        if isinstance(val, ILSemanticFlagGroup):
            return "FLAG_GROUP"
        if isinstance(val, ILIntrinsic):
            return "INTRINSIC"
        if isinstance(val, bool):
            return "BOOL"
        if isinstance(val, int):
            return "CONST"
        return type(val).__name__.upper()

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

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