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A Survey on Failure Analysis and Fault Injection in AI Systems

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels
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NetLoiter: A Tool for Automated Testing of Network Applications using Fault-injection
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DeepMutation: Mutation Testing of Deep Learning Systems
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Fault Triggers in the TensorFlow Framework: An Experience Report
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TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications
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Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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TopoRCA-Lite: Dynamic Topology-Aware Root Cause Localization Under Limited Observability
inferred← citeshttps://doi.org/10.1109/paine66113.2025.11320182openalex-snapshot
Precision Strike: Targeted Misclassification of Accelerated CNNs with a Single Clock Glitch
inferred← citeshttps://doi.org/10.1109/sbesc68008.2025.11288903openalex-snapshot
MLBFA: A Machine Learning-Guided Framework for Efficient Bit-Flip Attacks on Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tcad.2025.3610062openalex-snapshot
OpRA: Optimizing Resiliency Assessment for Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/tnnls.2026.3684886openalex-snapshot
Computing Node Failure Prediction Based on Continuous-Time Dynamic Graph
inferred← citeshttps://doi.org/10.1145/3680256.3721320openalex-snapshot
FAILS: A Framework for Automated Collection and Analysis of LLM Service Incidents
inferred← citeshttps://doi.org/10.1145/3806200openalex-snapshot
LLMRCA: Multilevel Root Cause Analysis for LLM Applications Using Multimodal Observability Data
inferred← citeshttps://doi.org/10.1145/3820756.3844919openalex-snapshot
When Log Parsing Removes What Matters: Detecting Failures in Distributed GPU Workloads
inferred← citeshttps://doi.org/10.1145/3821576openalex-snapshot
AI-NativeBench: An Open-Source White-Box Agentic Benchmark Suite for AI-Native Systems
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