Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems (extended version)
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Taibiao, Zhang, Xiang, Sun, Mingxuan, Ding, Ruyi, Zhou, Xugui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
by: Chen, Cheng, et al.
Published: (2025)
by: Chen, Cheng, et al.
Published: (2025)
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
by: Zhou, Xugui, et al.
Published: (2023)
by: Zhou, Xugui, et al.
Published: (2023)
A Semi Black-Box Adversarial Bit-Flip Attack with Limited DNN Model Information
by: Ghavami, Behnam, et al.
Published: (2024)
by: Ghavami, Behnam, et al.
Published: (2024)
Impactful Bit-Flip Search on Full-precision Models
by: Benedek, Nadav, et al.
Published: (2024)
by: Benedek, Nadav, et al.
Published: (2024)
Verification of Bit-Flip Attacks against Quantized Neural Networks
by: Zhang, Yedi, et al.
Published: (2025)
by: Zhang, Yedi, et al.
Published: (2025)
SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models
by: Xu, Haotian, et al.
Published: (2025)
by: Xu, Haotian, et al.
Published: (2025)
Bit-Flip Vulnerability of Shared KV-Cache Blocks in LLM Serving Systems
by: Yamamoto, Yuji, et al.
Published: (2026)
by: Yamamoto, Yuji, et al.
Published: (2026)
Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables
by: Chen, Yanzuo, et al.
Published: (2023)
by: Chen, Yanzuo, et al.
Published: (2023)
MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction
by: Ding, Ruyi, et al.
Published: (2025)
by: Ding, Ruyi, et al.
Published: (2025)
TFL: Targeted Bit-Flip Attack on Large Language Model
by: Guo, Jingkai, et al.
Published: (2026)
by: Guo, Jingkai, et al.
Published: (2026)
GenBFA: An Evolutionary Optimization Approach to Bit-Flip Attacks on LLMs
by: Das, Sanjay, et al.
Published: (2024)
by: Das, Sanjay, et al.
Published: (2024)
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
by: Zhou, Tong, et al.
Published: (2024)
by: Zhou, Tong, et al.
Published: (2024)
SBFA: Single Sneaky Bit Flip Attack to Break Large Language Models
by: Guo, Jingkai, et al.
Published: (2025)
by: Guo, Jingkai, et al.
Published: (2025)
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs
by: Zhao, Xuandong, et al.
Published: (2024)
by: Zhao, Xuandong, et al.
Published: (2024)
BitFlipScope: Scalable Fault Localization and Recovery for Bit-Flip Corruptions in LLMs
by: Karamat, Muhammad Zeeshan, et al.
Published: (2025)
by: Karamat, Muhammad Zeeshan, et al.
Published: (2025)
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
by: Chen, Cheng, et al.
Published: (2025)
by: Chen, Cheng, et al.
Published: (2025)
CAIBA: Multicast Source Authentication for CAN Through Reactive Bit Flipping
by: Wagner, Eric, et al.
Published: (2025)
by: Wagner, Eric, et al.
Published: (2025)
Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
by: ElShehaby, Mohamed, et al.
Published: (2025)
by: ElShehaby, Mohamed, et al.
Published: (2025)
Characterizing the Sensitivity to Individual Bit Flips in Client-Side Operations of the CKKS Scheme
by: Mazzanti, Matias, et al.
Published: (2025)
by: Mazzanti, Matias, et al.
Published: (2025)
FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement Learning
by: Khalil, Khurram, et al.
Published: (2025)
by: Khalil, Khurram, et al.
Published: (2025)
Targeted Bit-Flip Attacks on LLM-Based Agents
by: Wang, Jialai, et al.
Published: (2026)
by: Wang, Jialai, et al.
Published: (2026)
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Lehman Go Indifferent
by: Kummer, Lorenz, et al.
Published: (2023)
by: Kummer, Lorenz, et al.
Published: (2023)
Rotated Robustness: A Training-Free Defense against Bit-Flip Attacks on Large Language Models
by: Liu, Deng, et al.
Published: (2026)
by: Liu, Deng, et al.
Published: (2026)
ObfusBFA: A Holistic Approach to Safeguarding DNNs from Different Types of Bit-Flip Attacks
by: Yan, Xiaobei, et al.
Published: (2025)
by: Yan, Xiaobei, et al.
Published: (2025)
Mitigating Indirect Prompt Injection via Instruction-Following Intent Analysis
by: Kang, Mintong, et al.
Published: (2025)
by: Kang, Mintong, et al.
Published: (2025)
Robustness of Selected Learning Models under Label-Flipping Attack
by: Bhargava, Sarvagya, et al.
Published: (2025)
by: Bhargava, Sarvagya, et al.
Published: (2025)
Approaching the Harm of Gradient Attacks While Only Flipping Labels
by: El-Kabid, Abdessamad, et al.
Published: (2025)
by: El-Kabid, Abdessamad, et al.
Published: (2025)
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
by: Askarizadeh, Mohammad Javad, et al.
Published: (2024)
by: Askarizadeh, Mohammad Javad, et al.
Published: (2024)
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
by: Pegoraro, Alessandro, et al.
Published: (2024)
by: Pegoraro, Alessandro, et al.
Published: (2024)
KnowSafe: Combined Knowledge and Data Driven Hazard Mitigation in Artificial Pancreas Systems
by: Zhou, Xugui, et al.
Published: (2023)
by: Zhou, Xugui, et al.
Published: (2023)
Collective Certified Robustness against Graph Injection Attacks
by: Lai, Yuni, et al.
Published: (2024)
by: Lai, Yuni, et al.
Published: (2024)
Invisible Hands: Gray-Box Bit Flip Attack for Steering LLMs Without Knowledge of Gradients, Data, and Weights
by: Almalky, Abeer Matar A., et al.
Published: (2025)
by: Almalky, Abeer Matar A., et al.
Published: (2025)
PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
by: Yin, Chenlong, et al.
Published: (2026)
by: Yin, Chenlong, et al.
Published: (2026)
AlignSentinel: Alignment-Aware Detection of Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2026)
by: Jia, Yuqi, et al.
Published: (2026)
FDINet: Protecting against DNN Model Extraction via Feature Distortion Index
by: Yao, Hongwei, et al.
Published: (2023)
by: Yao, Hongwei, et al.
Published: (2023)
An Information Asymmetry Game for Trigger-based DNN Model Watermarking
by: Huang, Chaoyue, et al.
Published: (2025)
by: Huang, Chaoyue, et al.
Published: (2025)
Bit-Flipping Attack Exploration and Countermeasure in 5G Network
by: Kim, Joon, et al.
Published: (2025)
by: Kim, Joon, et al.
Published: (2025)
BF-Max: an Efficient Bit Flipping Decoder with Predictable Decoding Failure Rate
by: Baldelli, Alessio, et al.
Published: (2025)
by: Baldelli, Alessio, et al.
Published: (2025)
Has the Two-Decade-Old Prophecy Come True? Artificial Bad Intelligence Triggered by Merely a Single-Bit Flip in Large Language Models
by: Yan, Yu, et al.
Published: (2025)
by: Yan, Yu, et al.
Published: (2025)
MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
by: Ahmadi, Kasra, et al.
Published: (2026)
by: Ahmadi, Kasra, et al.
Published: (2026)
Similar Items
-
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
by: Chen, Cheng, et al.
Published: (2025) -
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
by: Zhou, Xugui, et al.
Published: (2023) -
A Semi Black-Box Adversarial Bit-Flip Attack with Limited DNN Model Information
by: Ghavami, Behnam, et al.
Published: (2024) -
Impactful Bit-Flip Search on Full-precision Models
by: Benedek, Nadav, et al.
Published: (2024) -
Verification of Bit-Flip Attacks against Quantized Neural Networks
by: Zhang, Yedi, et al.
Published: (2025)