Results 101 to 110 of about 243,531 (318)

Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification [PDF]

, 2021
Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin   +4 more
openalex   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks

, 2018
Machine learning systems based on deep neural networks, being able to produce state-of-the-art results on various perception tasks, have gained mainstream adoption in many applications.
Liu, Yannan, Luo, Bo, Wei, Lingxiao, Xu, Qiang   +3 more
core   +1 more source

Trace-Norm Adversarial Examples

CoRR, 2020
White box adversarial perturbations are sought via iterative optimization algorithms most often minimizing an adversarial loss on a $l_p$ neighborhood of the original image, the so-called distortion set. Constraining the adversarial search with different norms results in disparately structured adversarial examples.
Ehsan Kazemi 0003, Thomas Kerdreux, Liqiang Wang 0001   +2 more
openaire   +2 more sources

Bioinspired Morphology‐Decoupled Soft Gripper with Enhanced Bidirectional Grasping Capability

Advanced Science, EarlyView.
Inspired by biological predation, a novel gripper decouples cross‐modal grasping via dual morphological configurations. Synergistically integrating hybrid rigid and soft coupled fingers with a metamaterial palm, the system performs active compliant grasping for static objects and passive cage capture for dynamic targets.
Yedong Huang, Dazhong Yu, Baijin Mao, Fangming Li, Juntian Qu   +4 more
wiley   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

Advanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng, Xinlei Huang, Xiang Zhou, Dian Meng, Ziyue Qiao, Zhiyuan Yuan, Lixin Cheng   +6 more
wiley   +1 more source

Frequency-Guided Word Substitutions for Detecting Textual Adversarial\n Examples [PDF]

, 2020
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin   +3 more
openalex   +1 more source

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection [PDF]

, 2023
Jiang Liu, Chun Pong Lau, Guo, Zhongliang, Guo, Yuxiang, Wang, Zhaoyang, Chellappa, Rama   +5 more
openalex   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source

Invisible Perturbations: Physical Adversarial Examples Exploiting the\n Rolling Shutter Effect [PDF]

, 2020
Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes   +4 more
openalex   +1 more source