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Kaidi Xu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

17

papers

448

total citations

papers (17)

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

NEURIPS 2022arXiv

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

Adversarial T-shirt! Evading Person Detectors in A Physical World

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers

NEURIPS 2021arXiv

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation

Toward Robust Spiking Neural Network Against Adversarial Perturbation

NEURIPS 2022arXiv

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

NEURIPS 2020arXiv

Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models

NEURIPS 2025arXiv

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

Position: TrustLLM: Trustworthiness in Large Language Models