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1904.08089
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Adversarial Defense Through Network Profiling Based Path Extraction
17 April 2019
Yuxian Qiu
Jingwen Leng
Cong Guo
Quan Chen
Chong Li
Minyi Guo
Yuhao Zhu
AAML
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Papers citing
"Adversarial Defense Through Network Profiling Based Path Extraction"
31 / 31 papers shown
Anomaly Detection Based on Critical Paths for Deep Neural Networks
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Chenyi Zhang
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256
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On Transfer-based Universal Attacks in Pure Black-box Setting
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Naveed Akhtar
Lin Wang
Nazanin Rahnavard
Mubarak Shah
AAML
303
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11 Apr 2025
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations
Euna Jung
Jaekeol Choi
Eunggu Yun
Wonjong Rhee
AI4CE
233
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0
17 Jan 2024
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024
Cong Guo
Rui Zhang
Jiale Xu
Jingwen Leng
Zihan Liu
...
Minyi Guo
Hao Wu
Shouren Zhao
Junping Zhao
Ke Zhang
VLM
244
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0
16 Jan 2024
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
International Conference on Learning Representations (ICLR), 2023
Yue Cao
Tianlin Li
Xiaofeng Cao
Ivor Tsang
Yang Liu
Qing Guo
AAML
310
4
0
18 Oct 2023
FAIRER: Fairness as Decision Rationale Alignment
International Conference on Machine Learning (ICML), 2023
Tianlin Li
Qing Guo
Aishan Liu
Mengnan Du
Zhiming Li
Yang Liu
356
19
0
27 Jun 2023
DistSim: A performance model of large-scale hybrid distributed DNN training
ACM International Conference on Computing Frontiers (CF), 2023
Guandong Lu
Run Chen
Yakai Wang
Yangjie Zhou
Rui Zhang
...
Yanming Miao
Zhifang Cai
Li-Wei Li
Jingwen Leng
Minyi Guo
262
17
0
14 Jun 2023
Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators
Abhishek Tyagi
Yiming Gan
Shaoshan Liu
Bo Yu
P. Whatmough
Yuhao Zhu
AAML
297
15
0
05 Dec 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
AAML
228
4
0
04 Nov 2022
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training
ICCD (ICCD), 2022
Cong Guo
Yuxian Qiu
Jingwen Leng
Chen Zhang
Yingdian Cao
Quan Zhang
Yunxin Liu
Fan Yang
Minyi Guo
AI4CE
219
7
0
22 Sep 2022
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization
Micro (MICRO), 2022
Cong Guo
Chen Zhang
Jingwen Leng
Zihan Liu
Fan Yang
Yun-Bo Liu
Minyi Guo
Yuhao Zhu
MQ
273
106
0
30 Aug 2022
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
178
2
0
31 Jul 2022
Rethinking Textual Adversarial Defense for Pre-trained Language Models
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Jiayi Wang
Rongzhou Bao
Zhuosheng Zhang
Hai Zhao
AAML
SILM
289
14
0
21 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zinan Lin
OOD
280
13
0
04 Jul 2022
Defending Against Adversarial Attacks by Energy Storage Facility
IEEE Power & Energy Society General Meeting (PESGM), 2022
Jiawei Li
Jianxiao Wang
Lin Chen
Yang Yu
AAML
228
1
0
19 May 2022
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons
International Conference on Software Engineering (ICSE), 2022
Xuanqi Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Qianqian Wang
220
47
0
06 Apr 2022
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation
International Conference on Learning Representations (ICLR), 2022
Cong Guo
Yuxian Qiu
Jingwen Leng
Xiaotian Gao
Chen Zhang
Yunxin Liu
Fan Yang
Yuhao Zhu
Minyi Guo
MQ
289
90
0
14 Feb 2022
Block-Skim: Efficient Question Answering for Transformer
Yue Guan
Zhengyi Li
Jingwen Leng
Zhouhan Lin
Minyi Guo
Yuhao Zhu
273
33
0
16 Dec 2021
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators
IEEE International Symposium on Workload Characterization (IISWC), 2021
Yangjie Zhou
Mengtian Yang
Cong Guo
Jingwen Leng
Yun Liang
Quan Chen
Minyi Guo
Yuhao Zhu
160
48
0
08 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Lin Wang
Navid Kardan
M. Shah
AAML
544
315
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Naveed Akhtar
M. Jalwana
Bennamoun
Lin Wang
AAML
279
36
0
20 Jun 2021
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
International Conference on Machine Learning (ICML), 2021
Yonggan Fu
Yongan Zhang
Yang Zhang
David D. Cox
Yingyan Lin
MQ
426
23
0
11 Jun 2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Mohammad Hossein Samavatian
Saikat Majumdar
Kristin Barber
R. Teodorescu
AAML
479
4
0
09 Jun 2021
Dual-side Sparse Tensor Core
International Symposium on Computer Architecture (ISCA), 2021
Yang-Feng Wang
Chen Zhang
Zhiqiang Xie
Cong Guo
Yunxin Liu
Jingwen Leng
279
95
0
20 May 2021
Neural Response Interpretation through the Lens of Critical Pathways
Computer Vision and Pattern Recognition (CVPR), 2021
Ashkan Khakzar
Soroosh Baselizadeh
Saurabh Khanduja
Christian Rupprecht
Seong Tae Kim
Nassir Navab
162
42
0
31 Mar 2021
Voting based ensemble improves robustness of defensive models
Devvrit
Minhao Cheng
Cho-Jui Hsieh
Inderjit Dhillon
OOD
FedML
AAML
204
13
0
28 Nov 2020
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator
Zihan Liu
Jingwen Leng
Quan Chen
Chao Li
Wenli Zheng
Li-Wei Li
Minyi Guo
158
8
0
11 Nov 2020
How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT
′
'
′
s Attention
International Conference on Computational Linguistics (COLING), 2020
Yue Guan
Jingwen Leng
Chao Li
Quan Chen
Minyi Guo
221
19
0
02 Nov 2020
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020
Cong Guo
B. Hsueh
Jingwen Leng
Yuxian Qiu
Yue Guan
Zehuan Wang
Xiaoying Jia
Xipeng Li
Minyi Guo
Yuhao Zhu
202
92
0
29 Aug 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks
Lorraine Chambers
M. Gaber
Zahraa S Abdallah
126
4
0
08 Apr 2020
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners
European Conference on Artificial Intelligence (ECAI), 2019
Xiaolong Hu
Zhulin An
Chuanguang Yang
Hui Zhu
Kaiqiang Xu
Yongjun Xu
335
3
0
20 Nov 2019
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