Investigating Adversarial Robustness of Heterogeneous Cooperative Perception
cs.CV, cs.CR, cs.MA, cs.RO
Submitted: 2026-09-15
Updated: 2026-09-15
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks
- On Evaluating Adversarial Robustness
- Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies
- One-Index Vector Quantization Based Adversarial Attack on Image Classification
- STAMP: Scalable Task And Model-agnostic Collaborative Perception
- Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
- CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perception
- Communication-Efficient Collaborative Perception via Information Filling with Codebook
- Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
- Among Us: Adversarially Robust Collaborative Perception by Consensus
- An Extensible Framework for Open Heterogeneous Collaborative Perception
- Robust Collaborative 3D Object Detection in Presence of Pose Errors
- Residual Vector Quantization For Communication-Efficient Multi-Agent Perception
- Learning Mutual View Information Graph for Adaptive Adversarial Collaborative Perception
- GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detection
- CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception
- Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
- On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures
- QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception
- Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
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