Jakub Tarnawski

61 papers A* 22A 2B 1Journal 32Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Sepideh Mahabadi, Sherry Sarkar, Jakub Tarnawski
2026 A* conf
SODA
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski, Ali Vakilian
2025 J jnl
CoRR
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski
2025 A* conf
ICALP
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski
2025 J jnl
CoRR
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski, Ali Vakilian
2025 A conf
ITCS
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski, Ali Vakilian
2024 A* conf
ICML
Foteini Strati, Sara McAllister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic
2024 J jnl
CoRR
Foteini Strati, Sara McAllister, Amar Phanishayee, Jakub Tarnawski, Ana Klimovic
2024 A* conf
ICLR
Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski
2024 J jnl
CoRR
Arturs Backurs, Zinan Lin, Sepideh Mahabadi, Sandeep Silwal, Jakub Tarnawski
2024 A conf
AISTATS
Marwa El Halabi, Jakub Tarnawski, Ashkan Norouzi-Fard, Thuy-Duong Vuong
2024 A* conf
ICML
Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2024 J jnl
CoRR
Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya Mahajan
2024 J jnl
SIAM J. Comput.
Janardhan Kulkarni, Yang P. Liu, Ashwin Sah, Mehtaab S. Sawhney, Jakub Tarnawski
2024 J jnl
CoRR
Sepideh Mahabadi, Mohammad Roghani, Jakub Tarnawski, Ali Vakilian
2023 A* conf
ICML
Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
2023 J jnl
CoRR
Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
2023 J jnl
CoRR
Marwa El Halabi, Jakub Tarnawski, Ashkan Norouzi-Fard, Thuy-Duong Vuong
2022 J jnl
CoRR
Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim
2022 J jnl
Proc. VLDB Endow.
Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim
2022 A* conf
NeurIPS
Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2022 J jnl
CoRR
Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2022 A* conf
SODA
Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang
2022 A* conf
STOC
Janardhan Kulkarni, Yang P. Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski
2021 A* conf
ICML
Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2021 J jnl
CoRR
Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2021 J jnl
it Inf. Technol.
Jakub Tarnawski
2021 J jnl
CoRR
Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang
2021 J jnl
CoRR
Janardhan Kulkarni, Yang P. Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski
2021 A* conf
NeurIPS
Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee
2021 A* conf
SODA
Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
2020 J jnl
J. ACM
Ola Svensson, Jakub Tarnawski, László A. Végh
2020 A* conf
NeurIPS
Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
2020 J jnl
CoRR
Jakub Tarnawski, Amar Phanishayee, Nikhil R. Devanur, Divya Mahajan, Fanny Nina Paravecino
2020 A* conf
NeurIPS
Marwa El Halabi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
2020 J jnl
CoRR
Marwa El Halabi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski
2020 A* conf
NeurIPS
Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Morteza Zadimoghaddam
2020 J jnl
CoRR
Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Morteza Zadimoghaddam
2020 A* conf
SODA
Janardhan Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye
2020 J jnl
CoRR
Janardhan Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye
2020 A* conf
FOCS
Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
2020 J jnl
CoRR
Sami Davies, Janardhan Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
2019 ch.
Ausgezeichnete Informatikdissertationen
Jakub Tarnawski
2019
Jakub Tarnawski
2018 A* conf
STOC
Ola Svensson, Jakub Tarnawski, László A. Végh
2018 A* conf
ICML
Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrovic, Amir Zandieh, Aidasadat Mousavifar, Ola Svensson
2018 J jnl
CoRR
Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrovic, Amir Zandieh, Aida Mousavifar, Ola Svensson
2018 J jnl
Math. Program.
Ola Svensson, Jakub Tarnawski, László A. Végh
2017 J jnl
CoRR
Ola Svensson, Jakub Tarnawski, László A. Végh
2017 conf
MICCAI (2)
Agata Mosinska, Jakub Tarnawski, Pascal Fua
2017 conf
NIPS
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher
2017 J jnl
CoRR
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Volkan Cevher
2017 A* conf
FOCS
Ola Svensson, Jakub Tarnawski
2017 J jnl
CoRR
Ola Svensson, Jakub Tarnawski
2017 J jnl
Electron. Colloquium Comput. Complex.
Ola Svensson, Jakub Tarnawski
2017 A* conf
SODA
Christos Kalaitzis, Ola Svensson, Jakub Tarnawski
2016 B conf
IPCO
Ola Svensson, Jakub Tarnawski, László A. Végh
2016 J jnl
CoRR
Christos Kalaitzis, Ola Svensson, Jakub Tarnawski
2015 J jnl
CoRR
Ola Svensson, Jakub Tarnawski, László A. Végh
2015 A* conf
SODA
Aleksander Madry, Damian Straszak, Jakub Tarnawski
2015 J jnl
CoRR
Aleksander Madry, Damian Straszak, Jakub Tarnawski
redb/extractors/decompiler/bninja/similarity/minhasher.py
← Index redb/extractors/decompiler/bninja/similarity/minhasher.py python
import logging
import random
from enum import Enum

from ..analysis.medium_level_normalization import MediumLevelNormalization

try:
    from .minhashcustom import MinHashCustom
    from ..analysis.low_level_normalization import LowLevelNormalization
except ImportError:
    # Fallback to absolute imports (for multiprocessing spawned processes)
    from redb.extractors.decompiler.bninja.similarity.minhashcustom import MinHashCustom
    from redb.extractors.decompiler.bninja.analysis.low_level_normalization import LowLevelNormalization

## Values for this configuration were extracted from https://github.com/danielplohmann/mcrit/blob/main/mcrit/config/MinHashConfig.py#L10
# Length in number of Shingles of which a minhash consists
# this value represents the length of sha256sum hash truncated
MINHASH_SIGNATURE_LENGTH: int = 64
# Number of bits per signature element (1-32 bits)
MINHASH_SIGNATURE_BITS: int = 8


class TokenKind(Enum):
    LLIL = "llil"
    TYPED_LLIL = "typed_llil"
    MLIL = "mlil"
    TYPED_MLIL = "typed_mlil"


class MinHasher:
    # stick to the default method
    MINHASH_STRATEGY_HASH_ALL = 1

    def __init__(self, seed, il_function, kind: TokenKind = TokenKind.LLIL):
        self._minhash_seeds = []
        self.il_func = il_function
        self.kind = kind
        self._minhash_permutation = []
        self._signature_segments = []
        self._initMinhashing(seed)

    def _initMinhashing(self, MINHASH_SEED=None):
        random.seed(MINHASH_SEED)
        # init sequence of seeds
        self._minhash_seeds = [
            random.randint(0, MinHashCustom.getHashMax()) for _ in range(MINHASH_SIGNATURE_LENGTH)
        ]

    def make_ngrams(self, tokens, n=3):
        """Take the ngrams of the IL we try to pass into the functions"""
        return [tuple(tokens[i:i+n]) for i in range(len(tokens) - n + 1)]

    def _extract_tokens(self):
        """Extract the IL tokens from the IL function, picking the right
        normalizer (LLIL/MLIL) and the right normalization mode
        (skeleton/typed) based on self.kind."""
        if self.kind in (TokenKind.LLIL, TokenKind.TYPED_LLIL):
            normalizer = LowLevelNormalization()
        elif self.kind in (TokenKind.MLIL, TokenKind.TYPED_MLIL):
            normalizer = MediumLevelNormalization()
        else:
            raise ValueError(f"Unsupported token kind: {self.kind}")

        # typed variants include operand type info, skeleton variants don't
        if self.kind in (TokenKind.TYPED_LLIL, TokenKind.TYPED_MLIL):
            normalize = normalizer.normalize_instr_with_operands
        else:
            normalize = normalizer.normalize_instruction_all_levels

        instructions = []
        for basic_block in self.il_func.basic_blocks:
            for il in basic_block:
                instructions.append(normalize(il))

        return instructions

    def calculateMinHash(self):
        """Calculate hash function every time, then take minimum shingle per shingler"""
        minhash_result = MinHashCustom(minhash_bits=MINHASH_SIGNATURE_BITS)
        minhash_signature = []

        tokens = self._extract_tokens()
        shingles = self.make_ngrams(tokens, n=3)

        # Functions with fewer than 3 IL instructions can't produce n-grams
        # Return empty minhash for such small functions (thunks, stubs, etc.)
        # Triggered by 39d8ad95b0323c37bd3134ab93ac4af44c66a1a8443a41c1ac02cec19bb2816a
        if not shingles:
            return []

        # Generate the MinHash
        for seed in self._minhash_seeds:
            hashed_shingles = [
                self.shingle_hash(shingle, seed) for shingle in shingles
            ]
            min_value = min(hashed_shingles)

            if MINHASH_SIGNATURE_BITS < 32:
                min_value %= (2 ** MINHASH_SIGNATURE_BITS)

            minhash_signature.append(min_value)

        minhash_result.setMinHash(minhash_signature)
        return minhash_result.getMinHashInt()

    def shingle_hash(self, shingle, hash_seed=0):
        """Produce a single 32bit UINT hash for a given shingle"""
        return MinHashCustom.hashData(shingle, hash_seed)