Tag #fuzzing
44 papers:
ICPC-2019-LiangZYXJ #sequence- Sequence coverage directed greybox fuzzing (HL, YZ, YY, ZX, LJ), pp. 249–259.
SANER-2019-WangCLSL #logic- Fuzzing Program Logic Deeply Hidden in Binary Program Stages (YW, ZLC, YL, PS, ZL), pp. 105–116.
- IFM-2019-HodovanV0 #api #javascript
- Fuzzing JavaScript Environment APIs with Interdependent Function Calls (RH, DV, ÁK0), pp. 212–226.
ICML-2019-OdenaOAG #debugging #named #network- TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing (AO, CO, DA, IJG), pp. 4901–4911.
OOPSLA-2019-MarcozziTDC #compilation #how #matter #question- Compiler fuzzing: how much does it matter? (MM, QT0, AFD, CC), p. 29.
- OOPSLA-2019-PadhyeLSSV #named
- FuzzFactory: domain-specific fuzzing with waypoints (RP, CL, KS, LS, HV), p. 29.
PLDI-2019-MathisGMKHZ - Parser-directed fuzzing (BM, RG, MM, AK, MH, AZ), pp. 548–560.
ASE-2019-ChenPSAZ #cyber-physical #network #testing- Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences (YC, CMP, JS, SA, FZ), pp. 962–973.
- ASE-2019-XieCLM0Z #network
- Coverage-Guided Fuzzing for Feedforward Neural Networks (XX, HC, YL0, LM0, YL0, JZ), pp. 1162–1165.
- ASE-2019-ZhouWLLS0 #comprehension #interactive #named #visualisation
- VisFuzz: Understanding and Intervening Fuzzing with Interactive Visualization (CZ, MW, JL, ZL, CS, YJ0), pp. 1078–1081.
ESEC-FSE-2019-LiewCDS #constraints #float #using- Just fuzz it: solving floating-point constraints using coverage-guided fuzzing (DL, CC, AFD, JRS), pp. 521–532.
- ESEC-FSE-2019-LiXCWZXWL #adaptation #detection #effectiveness #named
- Cerebro: context-aware adaptive fuzzing for effective vulnerability detection (YL, YX, HC, XW, CZ, XX, HW, YL0), pp. 533–544.
- ESEC-FSE-2019-ShiWFWSJSJS #enterprise #industrial #kernel #linux
- Industry practice of coverage-guided enterprise Linux kernel fuzzing (HS, RW, YF, MW, XS, XJ, HS, YJ0, JS), pp. 986–995.
- ICSE-2019-AtlidakisGP #api #named #rest
- RESTler: stateful REST API fuzzing (VA, PG, MP), pp. 748–758.
- ICSE-2019-NilizadehNP #analysis #difference #named
- DifFuzz: differential fuzzing for side-channel analysis (SN, YN, CSP), pp. 176–187.
- ICSE-2019-Wang0WL #named
- Superion: grammar-aware greybox fuzzing (JW0, BC0, LW, YL0), pp. 724–735.
- ICSE-2019-YouLMPZ0 #named
- SLF: fuzzing without valid seed inputs (WY, XL, SM, DMP, XZ0, BL0), pp. 712–723.
ICST-2019-CoppikSS #memory management #named #using- MemFuzz: Using Memory Accesses to Guide Fuzzing (NC, OS, NS), pp. 48–58.
- ICST-2019-ZhaoLWSH #framework #industrial #learning #named #perspective #protocol
- SeqFuzzer: An Industrial Protocol Fuzzing Framework from a Deep Learning Perspective (HZ, ZL, HW, JS, YH), pp. 59–67.
- ASE-2018-JiangLC #contract #detection #named
- ContractFuzzer: fuzzing smart contracts for vulnerability detection (BJ, YL, WKC), pp. 259–269.
- ASE-2018-Noller #difference #execution #program analysis #symbolic computation
- Differential program analysis with fuzzing and symbolic execution (YN), pp. 944–947.
- ESEC-FSE-2018-ChenLCXL #configuration management #framework #named
- FOT: a versatile, configurable, extensible fuzzing framework (HC, YL, BC0, YX, YL0), pp. 867–870.
- ESEC-FSE-2018-GuoJZCS #difference #learning #named #testing
- DLFuzz: differential fuzzing testing of deep learning systems (JG, YJ0, YZ, QC, JS), pp. 739–743.
- ESEC-FSE-2018-LiangJCWZS #industrial #named #optimisation #parallel
- PAFL: extend fuzzing optimizations of single mode to industrial parallel mode (JL, YJ0, YC, MW, CZ, JS), pp. 809–814.
- ESEC-FSE-2018-WeiCFFD #complexity #named
- Singularity: pattern fuzzing for worst case complexity (JW, JC, YF, KF, ID), pp. 213–223.
CAV-2018-BlotskyMBZKG #named #string- StringFuzz: A Fuzzer for String Solvers (DB, FM, MB, YZ, IK, VG), pp. 45–51.
- ASE-2017-GodefroidPS #machine learning
- Learn&Fuzz: machine learning for input fuzzing (PG, HP, RS), pp. 50–59.
- ASE-2017-WangW #analysis #in memory #similarity
- In-memory fuzzing for binary code similarity analysis (SW0, DW), pp. 319–330.
- ESEC-FSE-2017-LiCCLLT #named
- Steelix: program-state based binary fuzzing (YL, BC0, MC, SWL, YL0, AT), pp. 627–637.
- ICSE-2017-RasthoferATP #android #execution
- Making malory behave maliciously: targeted fuzzing of android execution environments (SR, SA, ST, MP), pp. 300–311.
- IFM-2016-Hodovan0 #api #javascript
- Fuzzing JavaScript Engine APIs (RH, ÁK0), pp. 425–438.
Haskell-2016-GriecoCB #automation #named #random- QuickFuzz: an automatic random fuzzer for common file formats (GG, MC, PB), pp. 13–20.
- ASE-2016-PhamBR #modelling
- Model-based whitebox fuzzing for program binaries (VTP, MB, AR), pp. 543–553.
- PLDI-2015-LidburyLCD #compilation #manycore
- Many-core compiler fuzzing (CL, AL, NC, AFD), pp. 65–76.
- ASE-2015-DeweyRH #rust #using
- Fuzzing the Rust Typechecker Using CLP (T) (KD, JR, BH), pp. 482–493.
- ASE-2014-DeweyRH #constraints #logic programming #using
- Language fuzzing using constraint logic programming (KD, JR, BH), pp. 725–730.
- ICST-2014-JohanssonSLAG #modelling #named #protocol #robust #testing
- T-Fuzz: Model-Based Fuzzing for Robustness Testing of Telecommunication Protocols (WJ, MS, UEL, MA, VG), pp. 323–332.
- PLDI-2013-ChenGZWFER #compilation
- Taming compiler fuzzers (YC, AG, CZ, WKW, XF, EE, JR), pp. 197–208.
- ICST-2012-BekrarBGM #approach
- A Taint Based Approach for Smart Fuzzing (SB, CB, RG, LM), pp. 818–825.
- ICST-2012-DucheneGRR #detection #model inference #using
- XSS Vulnerability Detection Using Model Inference Assisted Evolutionary Fuzzing (FD, RG, SR, JLR), pp. 815–817.
SAC-2011-SimKM #adaptation #approach #embedded #linux #random- Fuzzing the out-of-memory killer on embedded Linux: an adaptive random approach (KYS, FCK, RGM), pp. 387–392.
- ICST-2011-BekrarBGM
- Finding Software Vulnerabilities by Smart Fuzzing (SB, CB, RG, LM), pp. 427–430.
ICSE-2009-GaneshLR - Taint-based directed whitebox fuzzing (VG, TL, MCR), pp. 474–484.
- PLDI-2008-GodefroidKL #grammarware
- Grammar-based whitebox fuzzing (PG, AK, MYL), pp. 206–215.
