Deepfake Video Detection Using Generative Convolutional Vision Transformer

Deepfakes have raised significant concerns due to their potential to spread false information and compromise digital media integrity. In this work, we propose a Generative Convolutional Vision Transformer (GenConViT) for deepfake video detection. Our model combines ConvNeXt and Swin Transformer models for feature extraction, and it utilizes Autoencoder and Variational Autoencoder to learn from the latent data distribution. By learning from the visual artifacts and latent data distribution, GenConViT achieves improved performance in detecting a wide range of deepfake videos. The model is trained and evaluated on DFDC, FF++, DeepfakeTIMIT, and Celeb-DF v2 datasets, achieving high classification accuracy, F1 scores, and AUC values. The proposed GenConViT model demonstrates robust performance in deepfake video detection, with an average accuracy of 95.8% and an AUC value of 99.3% across the tested datasets. Our proposed model addresses the challenge of generalizability in deepfake detection by leveraging visual and latent features and providing an effective solution for identifying a wide range of fake videos while preserving media integrity. The code for GenConViT is available at https://github.com/erprogs/GenConViT.Comment: 11 pages, 4 figure

Determining Sequence of Image Processing Technique (IPT) to Detect Adversarial Attacks

Developing secure machine learning models from adversarial examples is challenging as various methods are continually being developed to generate adversarial attacks. In this work, we propose an evolutionary approach to automatically determine Image Processing Techniques Sequence (IPTS) for detecting malicious inputs. Accordingly, we first used a diverse set of attack methods including adaptive attack methods (on our defense) to generate adversarial samples from the clean dataset. A detection framework based on a genetic algorithm (GA) is developed to find the optimal IPTS, where the optimality is estimated by different fitness measures such as Euclidean distance, entropy loss, average histogram, local binary pattern and loss functions. The "image difference" between the original and processed images is used to extract the features, which are then fed to a classification scheme in order to determine whether the input sample is adversarial or clean. This paper described our methodology and performed experiments using multiple data-sets tested with several adversarial attacks. For each attack-type and dataset, it generates unique IPTS. A set of IPTS selected dynamically in testing time which works as a filter for the adversarial attack. Our empirical experiments exhibited promising results indicating the approach can efficiently be used as processing for any AI model

Učinak hranidbe usitnjenim sjemenkama uzgojene crnjike Nigella sativa L. na proizvodnju jaja i njihovu neškodljivost za ljudsku upotrebu.

The effect of Kalongi (Nigella sativa, L.) seeds was studied on the performance of layers and cholesterol contents of their egg-yolks. A total of 96 White-Leghorn birds of 40 weeks of age and at the egg laying stage were randomly divided into 12 experimental units, eight birds in each unit. These units were randomly allotted to four treatments in such a way that each treatment received 3 experimental units. Four test rations were prepared by supplementing a commercial layer-ration with powdered Kalongi seeds at the rates of 0.0, 0.5, 1.0 and 1.5%. Effects of feeding these rations on feed intake, egg production, egg mass, egg shell thickness, Haugh unit, yolk index, blood spots, meat spots and total cholesterol in eggs were determined after a period of 12 weeks. Blood samples of the two birds selected at random from each replicate were taken at 0, 6 and 12 weeks. The serum obtained from these samples was analyzed for total cholesterol, low-density lipoproteins, high-density lipoproteins and triglycerides. Data on feed intake, feed refused and egg production were used to calculate the feed conversion ratio. Results showed that Nigella sativa seeds significantly (P0.05) change in yolk index, blood and meat spots. The Nigella sativa seeds also significantly (P0,05) u odnosu na indeks žumanjka te prisutnost krvnih i mesnih mrlja. U jaja nesilica hranjenih usitnjenim sjemenkama crnjike zabilježena je značajno manja količina (P<0,05) kolesterola. Ustanovljene su i niže razine serumskih triglicerida, lipoproteina niske gustoće i ukupnog kolesterola, dok je razina loipoproteina visoke gustoće bila povišena dodavanjem komercijalne hrane sa sjemenkama crnjike

The relationship of upward influence tactics with age, gender and industry: An analysis of Asian perspective

We begin with a review of the upward influence literature and its relationship with human resource decisions of performance ratings, promotability assessments and salary progression. In particular, we examined whether men and women display different influence behavior in diverse settings in Asia, especially in Pakistan. It is well recognized in studies of managerial behavior that a manager’s effectiveness highly depends upon his/her success in dealing with interpersonal relationships. Within the past decade, organizational theory and research have made substantial contributions to our understanding of the upward influence process in organizations. Conspicuously missing from this research literature is information on the relationship between the use of upward influence tactics to gender, Age and type of Industry. Few studies have examined upward influence behavior in the gender context, and even fewer have used Asian samples. Therefore, given the limited study of Asian upward influence behavior and the importance of Asia to the world economy (“War of the Worlds,” 1994), it is important for business people on both sides of the pacific to understand how influence behavior in Asia might converge or diverge with those behaviors in the West. The purpose of this conceptual paper is to look at how the tactics of upward influence adopted by the manager’s play a role in their career advancement and whether gender, type of industry and Age differences exist in the choice of upward influence tactics. A set of potentially testable propositions regarding the relation between use of influence tactics, gender, age and industry is developed and discussed

Risk Factors of Infection in Total Knee Arthroplasty

Background: To determine risk factors of infection in total knee arthroplastyMethods: In this descriptive study all patients undergoing primary total knee arthroplasty were included. Patients were followed post-operatively at 2,4,8,12 and 24 weeks. Signs of inflammation and inflammatory markers such as total leukocyte count (TLC), C-reactive protein (CRP) and ESR were measured. Risk factors like age, body mass index (BMI), ASA, co-morbid conditions were also noted.Results: Out of the 78 patients osteoarthritis (94.87%) was the pre-dominant cause of total knee replacement (TKR). 6.41% cases got infected. In majority of the infected cases (60%), Staphylococcus aureus was the infective organism. Diabetes Mellitus (p=0.01) and Obesity (p=0.02) had a significant relation to post-operative infection.Conclusion: Pre-operative risk evaluation and prevention strategies along with early recognition of infection and control can greatly reduce the risk of joint infection post-TKR which will not only improve the mobility of patient but also its morbidity and mortality as wel

Geometric and harmonic means based priority dispatching rules for single machine scheduling problems

[EN] This work proposes two new prority dispatching rules (PDRs) for solving single machine scheduling problems. These rules are based on the geometric mean (GM) and harmonic mean (HM) of the processing time (PT) and the due date (DD) and they are referred to as GMPD and HMPD respectively. Performance of the proposed PDRs is evaluated on the basis of five measures/criteria i.e. Total Flow Time (TFT), Total Lateness (TL), Number of Late Jobs (TNL), Total Earliness (TE) and Number of Early Parts (TNE). It is found that GMPD performs better than other PDRs in achieving optimal values of multiple performance measures. Further, effect of variation in the weight assigned to PT and DD on the combined performance of TFT and TL is also examined which reveals that for deriving optimal values of TFT and TL, weighted harmonic mean (WHMPD) rule with a weight of 0.105 outperforms other PDRs. The weighted geometric mean (WGMPD) rule with a weight of 0.37 is found to be the next after WHMPD followed by the weighted PDT i.e. WPDT rule with a weight of 0.76.Ahmad, S.; Khan, ZA.; Ali, M.; Asjad, M. (2021). Geometric and harmonic means based priority dispatching rules for single machine scheduling problems. International Journal of Production Management and Engineering. 9(2):93-102. https://doi.org/10.4995/ijpme.2021.15217OJS9310292Baharom, M. Z., Nazdah, W., &Hussin, W. (2015). Scheduling Analysis for Job Sequencing in Veneer Lamination Line. Journal of Industrial and Intelligent Information, 3(3). https://doi.org/10.12720/jiii.3.3.181-185Chan, F. T. S., Chan, H. K., Lau, H. C. W., & Ip, R. W. L. (2003). Analysis of dynamic dispatching rules for a flexible manufacturing system. Journal of Materials Processing Technology, 138(1), 325-331. https://doi.org/10.1016/S0924-0136(03)00093-1Cheng, T. C. E., &Kahlbacher, H. G. (1993). 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Correlation of Schmidt Hammer Rebound Numbers with Ultrasonic Pulse Velocity and Slake Durability Index of Dolomitic Limestone of Khyber, North Pakistan

The ultrasonic pulse velocity and slake durability index are the indirect techniques used widely for rock strength determination. Various experimental studies like slake durability apparatus, ultrasonic pulse velocity and Schmidt hammer have been conducted on dolomitic limestone. The correlation of Schmidt hammer rebound number has been developed with these properties. The uniaxial compressive strength has been determined using the correlated rebound number. Statistical analyses were conducted and the most suitable models were recommended. The linear model was suited in correlation of Schmidt hammer and durability while exponential model appeared best fit with pulse velocity. Most of the tested samples show pulse velocity in the range of 1800-3800m/s. The mean value of pulse velocity was 2751 m/s while the rebound hammer value was 45. Using the correlations from literature the compressive strength calculated by rebound hammer and pulse velocity was 146MPa and 66MPa respectively