Victor D. Dorobantu

15 papers A* 1A 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Trans. Autom. Control.
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
2023 J jnl
CoRR
Victor D. Dorobantu, Charlotte Borcherds, Yisong Yue
2023 A* conf
ICRA
Noel Csomay-Shanklin, Victor D. Dorobantu, Aaron D. Ames
2022 J jnl
CoRR
Victor D. Dorobantu, Kamyar Azizzadenesheli, Yisong Yue
2022 J jnl
CoRR
Noel Csomay-Shanklin, Victor D. Dorobantu, Aaron D. Ames
2022 conf
CDC
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022 J jnl
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Ryan K. Cosner, Yisong Yue, Aaron D. Ames
2022 J jnl
IEEE Control. Syst. Lett.
Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
2021 J jnl
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Yisong Yue, Paulo Tabuada, Aaron D. Ames
2021 conf
CDC
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2020 J jnl
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2019 conf
CDC
Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 J jnl
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Meera Krishnamoorthy, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 A conf
IROS
Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
2019 J jnl
CoRR
Andrew J. Taylor, Victor D. Dorobantu, Hoang Minh Le, Yisong Yue, Aaron D. Ames
redb/extractors/decompiler/bninja/similarity/minhashcustom.py
← Index redb/extractors/decompiler/bninja/similarity/minhashcustom.py python
import numpy as np
import mmh3

class MinHashCustom:
    """
    DTO for an actual MinHash
    <minhash>: a binary sequence of packed int8/32 values
    <minhash_int>: the equivalent representation of <minhash> but as list of int8/32
    """

    _HASH_MAX = 0xFFFFFFFF
    _MINHASH_BITS = 32

    def getSignatureEntrySize(self):
        return 1 if self.MINHASH_BITS <= 8 else 4

    def __init__(self, function_addr=None, minhash_bytes=None, minhash_signature=None, minhash_bits=32):
        self.minhash = b""
        self.minhash_int = []
        if minhash_bits:
            self._MINHASH_BITS = minhash_bits
        if minhash_bytes and minhash_signature:
            raise ValueError("Can use only one keyword argument")
        if minhash_bytes:
            if self._MINHASH_BITS <= 8:
                minhash_signature = np.frombuffer(minhash_bytes, dtype=np.uint8)
            else:
                minhash_signature = np.frombuffer(minhash_bytes, dtype=np.uint32)
            self.setMinHash(minhash_signature)
        elif minhash_signature:
            self.setMinHash(minhash_signature)

        self.shingler_composition = {}
        self.function_addr = function_addr

    def hasMinHash(self):
        return len(self.minhash) > 0

    def getMinHash(self):
        return self.minhash

    def getMinHashInt(self):
        return self.minhash_int

    def setMinHash(self, minhash_signature):
        self.minhash_int = [i % 2 ** self._MINHASH_BITS for i in minhash_signature]
        if self._MINHASH_BITS <= 8:
            self.minhash = np.array(self.minhash_int, dtype=np.uint8).tobytes()
        else:
            self.minhash = np.array(self.minhash_int, dtype=np.uint32).tobytes()

    def getComposition(self):
        return self.shingler_composition

    def scoreAgainst(self, other):
        return self.calculateMinHashScore(self.minhash, other.minhash, minhash_bits=self._MINHASH_BITS)

    @staticmethod
    def getHashMax():
        return MinHashCustom._HASH_MAX

    @staticmethod
    def hashData(data, seed) -> int:
        if isinstance(data, (str, bytes, bytearray)):
            return mmh3.hash(data, seed) & MinHashCustom._HASH_MAX
        elif isinstance(data, (list, tuple)):
            to_hash = "|".join(str(elem) for elem in data)
            return mmh3.hash(to_hash, seed) & MinHashCustom._HASH_MAX
        else:
            raise NotImplementedError(
                f"Type not supported for hashData: {type(data).__name__}"
            )

    @staticmethod
    def calculateMinHashScore(first, second, minhash_bits=32):
        if minhash_bits <= 8:
            first_np = np.frombuffer(first, dtype=np.uint8)
            second_np = np.frombuffer(second, dtype=np.uint8)
        else:
            first_np = np.frombuffer(first, dtype=np.uint32)
            second_np = np.frombuffer(second, dtype=np.uint32)
        return 100.0 * sum(first_np == second_np) / len(first_np)

    @staticmethod
    def calculateMinHashIntScore(first, second):
        score = 0
        num_hashes = len(first)
        if num_hashes:
            for index, part in enumerate(first):
                score += 1 if part == second[index] else 0
            return 100.0 * score / num_hashes
        return 0.0

    @property
    def MINHASH_BITS(self):
        return self._MINHASH_BITS