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add fuzzing papers from ISSTA 2024 #97

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14 changes: 12 additions & 2 deletions README.md
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# All Papers (Classification according to Publication)
- **ISSTA 2024**
- [An Empirical Examination of Fuzzer Mutator Performance](https://dl.acm.org/doi/10.1145/3650212.3680387)
- [AsFuzzer: Differential Testing of Assemblers with Error-Driven Grammar Inference](https://dl.acm.org/doi/10.1145/3650212.3680345)
- [Atlas: Automating Cross-Language Fuzzing on Android Closed-Source Libraries](https://dl.acm.org/doi/10.1145/3650212.3652133)
- [Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing](https://dl.acm.org/doi/10.1145/3650212.3680344)
- [DDGF: Dynamic Directed Greybox Fuzzing with Path Profiling](https://dl.acm.org/doi/10.1145/3650212.3680324)
- [Enhancing ROS System Fuzzing through Callback Tracing](https://dl.acm.org/doi/10.1145/3650212.3652111)
- [Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-Based Mutation](https://dl.acm.org/doi/10.1145/3650212.3680389)
- [Fuzzing MLIR Compiler Infrastructure via Operation Dependency Analysis](https://dl.acm.org/doi/10.1145/3650212.3680360)
- [How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation](https://dl.acm.org/doi/10.1145/3650212.3680355)
- [Logos: Log Guided Fuzzing for Protocol Implementations](https://dl.acm.org/doi/10.1145/3650212.3680394)
- [Midas: Mining Profitable Exploits in On-Chain Smart Contracts via Feedback-Driven Fuzzing and Differential Analysis](https://dl.acm.org/doi/10.1145/3650212.3680321)
- [Tacoma: Enhanced Browser Fuzzing with Fine-Grained Semantic Alignment](https://dl.acm.org/doi/10.1145/3650212.3680351)
- [Prospector: Boosting Directed Greybox Fuzzing for Large-Scale Target Sets with Iterative Prioritization](https://dl.acm.org/doi/10.1145/3650212.3680365)
- [FRIES: Fuzzing Rust Library Interactions via Efficient Ecosystem-Guided Target Generation](https://dl.acm.org/doi/10.1145/3650212.3680348)
- [DDGF: Dynamic Directed Greybox Fuzzing with Path Profiling](https://dl.acm.org/doi/10.1145/3650212.3680324)
- [Logos: Log Guided Fuzzing for Protocol Implementations](https://dl.acm.org/doi/10.1145/3650212.3680394)
- [Policy Testing with MDPFuzz (Replicability Study)](https://dl.acm.org/doi/10.1145/3650212.3680382)
- [Fuzzing JavaScript Interpreters with Coverage-Guided Reinforcement Learning for LLM-Based Mutation](https://dl.acm.org/doi/10.1145/3650212.3680389)
- [Enhancing ROS System Fuzzing through Callback Tracing](https://dl.acm.org/doi/10.1145/3650212.3652111)
- [Sleuth: A Switchable Dual-Mode Fuzzer to Investigate Bug Impacts Following a Single PoC](https://dl.acm.org/doi/10.1145/3650212.3680316)
- **ESEC/FSE 2024**
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