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20212026
most citedMeasuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep

9 citations · 11 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2026

From Expected Harmfulness to Likelihood: A Probabilistic Reformulation of Jailbreaking LLM Agents

Juanyang Xu, Zheng Wang, Xingyu Zhao +2

When the harmfulness of an LLM agent's output can be quantified, a natural jailbreaking objective is to maximize expected harmfulness over admissible input modifications. An altern…

cs.LG2026

Probabilistic Adversarial Training

Andi Zhang, Xingyu Zhao, Siddartha Khastgir

Building on a probabilistic perspective in which adversarial examples arise from the overlap between a distance-based distribution and a victim-classifier-induce…

cs.CV2026

GPO-V: Jailbreak Diffusion Vision Language Model by Global Probability Optimization

Yu Pan, Andi Zhang, Yi Wang +2

Diffusion Vision-Language Models (dVLMs), built upon the non-causal foundations of Diffusion Large Language Models (dLLMs), have demonstrated remarkable efficacy in multimodal task…

cs.LG2024★ 1 cited

Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching

Zijing Ou, Mingtian Zhang, Andi Zhang +3

The probabilistic diffusion model has become highly effective across various domains. Typically, sampling from a diffusion model involves using a denoising distribution characteriz…

cs.CL2024★ 1 cited

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector

Andi Zhang, Tim Z. Xiao, Weiyang Liu +2

We revisit the likelihood ratio between a pretrained large language model (LLM) and its finetuned variant as a criterion for out-of-distribution (OOD) detection. The intuition behi…

stat.ML2023

Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective

Andi Zhang, Mingtian Zhang, Damon Wischik

We propose a probabilistic perspective on adversarial examples, allowing us to embed subjective understanding of semantics as a distribution into the process of generating adversar…

eess.SP2021★ 9 cited

Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep

Ran Guan, Andi Zhang, Mengchao Li +1

In indoor positioning, signal fluctuation is highly location-dependent. However, signal uncertainty is one critical yet commonly overlooked dimension of the radio signal to be fing…