Task-Oriented Adversarial Attacks for Aspect-Based Sentiment Analysis Models by Monserrat Vázquez-Hernández, Ignacio Algredo-Badillo, Luis Villaseñor-Pineda, Mariana Lobato-Báez, Juan Carlos Lopez-Pimentel, Luis Alberto Morales-Rosales

Subjects: “…adversarial attacks…”
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Detection and Prevention of Selective Forwarding-Based Denial-of-Service Attacks in WSNs by Youngho Cho, Gang Qu

“…Furthermore, we design two attacker-aware protocols to reroute victim nodes' packets by avoiding the attackers. …”
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Location privacy preserving scheme against attack from friends in SNS by Xi LIN, Yi-liang HAN, Yan KE, Xiao-yuan YANG

“…In order to enrich the performance of the user's location information and to meet the diverse needs of users,a location privacy protection scheme based on attribute encryption was designed,which provided precise,more accurate,fuzzy and private four modes to manage the location information.The scheme was based on the algorithm of WT-CP-ABE.The location information was divided into three parts according to a close friend of grade,then the key infor-mation and position information was encrypted with attribute-based encryption and symmetric encryption method respec-tively and the ciphertext was published to the social network.The security of the scheme is analyzed,which shows that the scheme has the advantage of user attribute information confidentiality,data confidentiality and can resist the collusion attack.…”
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Distribution of Corrosion Attack in Chloride Exposed Concrete – Summary of Field Observations by Baral Kedar, Geiker Mette Rica, Øverli Jan Arve

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Adversarial Attack Detection in Smart Grids Using Deep Learning Architectures by Stephanie Ness

Subjects: “…Adversarial attacks…”
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Higher P-Wave Dispersion in Migraine Patients with Higher Number of Attacks by A. Koçer, M. Eryılmaz, H. Tutkan, N. Ercan, Z. S. Küçükbayrak

“…P WD was positively correlated with P max (P<0.01). Attacks number per month and male gender were the factors related to the P WD (P<0.01). …”
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Anticollusion Attack Noninteractive Security Hierarchical Key Agreement Scheme in WHMS by Kefei Mao, Jianwei Liu, Jie Chen

“…However, we show that Kim’s cryptographic scheme is vulnerable to the collusion attack if the physicians can be corrupted. Obviously, it is a more practical security condition. …”
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Pixel‐wise supervision for presentation attack detection on identity document cards by Raghavendra Mudgalgundurao, Patrick Schuch, Kiran Raja, Raghavendra Ramachandra, Naser Damer

“…In this paper, a pixel‐wise supervision on DenseNet is proposed to detect presentation attacks of the printed and digitally replayed attacks. …”
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Approach of detecting low-rate DoS attack based on combined features by Zhi-jun WU, Jing-an ZHANG, Meng YUE, Cai-feng ZHANG

Subjects: “…low-rate denial of service attack…”
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Power analysis attack of dynamic password token based on SM3 by Zhi-bo DU, Zhen WU, Min WANG, Jin-tao RAO

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Differential, Linear, and Meet-in-the-Middle Attacks on the Lightweight Block Cipher RBFK by Sugio Nobuyuki

“…This paper introduces not only a distinguish attack but also key recovery attacks on full-round RBFK. …”
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Anomaly detection of adversarial cyber attacks on electric vehicle charging stations by Sagar Babu Mitikiri, Vedantham Lakshmi Srinivas, Mayukha Pal

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Understanding Xenophobic Attacks in South Africa: A Systematic Literature Review by Bethuel Sibongiseni Ngcamu

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New related-key rectangle attack on 42-round SHACAL-2 by WEI Yong-zhuang1, 2

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Analyzing the Probability of Key Recovery in the Differential Attacks Against ChaCha by Nitin Kumar Sharma, Sabyasachi Dey

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Improving Model Performance for Predicting Exfiltration Attacks Through Resampling Strategies by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Esti Rahmawati Agustina

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Optimization mechanism of attack and defense strategy in honeypot game with evidence for deception by Lihua SONG, Yangyang JIANG, Changyou XING, Guomin ZHANG

“…Using game theory to optimize honeypot behavior is an important method in improving defender’s trapping ability.Existing work tends to use over simplified action spaces and consider isolated game stages.A game model named HoneyED with expanded action spaces and covering comprehensively the whole interaction process between a honeypot and its adversary was proposed.The model was focused on the change in the attacker’s beliefs about its opponent’s real identity.A pure-strategy-equilibrium involving belief was established for the model by theoretical analysis.Then, based on the idea of deep counterfactual regret minimization (Deep-CFR), an optimization algorithm was designed to find an approximate hybrid-strategy-equilibrium.Agents for both sides following hybrid strategies from the approximate equilibrium were obtained.Theoretical and experimental results show that the attacker should quit the game when its belief reaches a certain threshold for maximizing its payoff.But the defender’s strategy is able to maximize the honeypot’s profit by reducing the attacker’s belief to extend its stay as long as possible and by selecting the most suitable response to attackers with different deception recognition abilities.…”
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DAGUARD: distributed backdoor attack defense scheme under federated learning by Shengxing YU, Zekai CHEN, Zhong CHEN, Ximeng LIU

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APDL: an adaptive step size method for white-box adversarial attacks by Jiale Hu, Xiang Li, Changzheng Liu, Ronghua Zhang, Junwei Tang, Yi Sun, Yuedong Wang

Subjects: “…Adversarial attacks…”
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Secure localization scheme against wormhole attack for wireless sensor networks by Hong-long CHEN, Zhi-bo WANG, Zhi WANG, Jiang-ming XU, Yan-jun LI, Li-ping LIU

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