Kaidi Xu

18

Papers

27

Total Citations

Papers (18)

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

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

Position: TrustLLM: Trustworthiness in Large Language Models

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

Adversarial Robustness vs. Model Compression, or Both?

On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method

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

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

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

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

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

ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

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

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

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

Toward Robust Spiking Neural Network Against Adversarial Perturbation