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Ai agents under threat: A survey of key security challenges and future pathways
An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or
makes decisions based on pre-defined objectives and data inputs. AI agents, capable of …
makes decisions based on pre-defined objectives and data inputs. AI agents, capable of …
Coverup: Coverage-guided llm-based test generation
Testing is an essential part of software development. Test generation tools attempt to
automate the otherwise labor-intensive task of test creation, but generating high-coverage …
automate the otherwise labor-intensive task of test creation, but generating high-coverage …
{MultiFuzz}: A {Multi-Stream} Fuzzer For Testing Monolithic Firmware
Rapid embedded device proliferation is creating new targets and opportunities for
adversaries. However, the complex interactions between firmware and hardware pose …
adversaries. However, the complex interactions between firmware and hardware pose …
A novel generative adversarial network-based fuzzing cases generation method for industrial control system protocols
H Yang, Y Huang, Z Zhang, F Li, BB Gupta… - Computers and …, 2024 - Elsevier
With the interconnection and networking of industrial control systems (ICS), security
vulnerabilities in ICS protocols have become a major source of threats to these systems. In …
vulnerabilities in ICS protocols have become a major source of threats to these systems. In …
[PDF][PDF] Predictive context-sensitive fuzzing
Coverage-guided fuzzers expose bugs by progressively mutating testcases to drive
execution to new program locations. Code coverage is currently the most effective and …
execution to new program locations. Code coverage is currently the most effective and …
Hifuzz: Human interaction fuzzing for small unmanned aerial vehicles
Small Unmanned Aerial Systems (sUAS) must meet rigorous safety standards when
deployed in high-stress emergency response scenarios; however many reported accidents …
deployed in high-stress emergency response scenarios; however many reported accidents …
On Understanding and Forecasting Fuzzers Performance with Static Analysis
Fuzz testing, a technique for detecting critical software vulnerabilities, combines various
methodologies from previous research to improve its effectiveness. For fuzzing practitioners …
methodologies from previous research to improve its effectiveness. For fuzzing practitioners …
Network Fuzzing: State of the art
As fuzzing has seen increased interest not only in academia but also in industry settings,
algorithmic advancements have become increasingly difficult to obtain. Moreover, the …
algorithmic advancements have become increasingly difficult to obtain. Moreover, the …
Forward-porting and its limitations in fuzzer evaluation
Forward-porting reintroduces previously detected and patched software bugs from older
versions into later ones to create benchmarking workloads for fuzzing. These benchmarks …
versions into later ones to create benchmarking workloads for fuzzing. These benchmarks …
An Empirical Examination of Fuzzer Mutator Performance
Over the past decade, hundreds of fuzzers have been published in top-tier security and
software engineering conferences. Fuzzers are used to automatically test programs, ideally …
software engineering conferences. Fuzzers are used to automatically test programs, ideally …